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Journal articles on the topic 'Multi-objective evaluation'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Sun, Qian, Qian Wang, and Yuan Chao Zhang. "Multi-Objective Evaluation of PV." Applied Mechanics and Materials 484-485 (January 2014): 639–43. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.639.

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Access to distribution grid for distributed photovoltaic (short for PV),technically,it determines solutions in the economic evaluation method.The method combines with comprehensive scoring method,Access to the distribution grid will be different from each program in economic construction,load flow,voltage,power quality,supply reliability and other aspects .Also the transformation of the distribution grid to rate the degree by the weighted average method that determines each PV access solutions the final performance of grid PV Construction method of the process,mainly AHP through index calculat

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Kalibatas, Darius, Mindaugas Krutinis, and Milda Viteikienė. "MULTI-OBJECTIVE EVALUATION OF MICROCLIMATE IN DWELLING." Technological and Economic Development of Economy 13, no. 1 (2007): 24–31. http://dx.doi.org/10.3846/13928619.2007.9637772.

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When the customers’ demands grow, it becomes topical to evaluate peculiarities of inside climate of a building. This article describes building's indoor microclimate research. The results are commented and compared to valid hygienic standards. Deflections from standards are explained and there is an information on how to avoid them. Multi‐objective analysis is done to get rational variant using gained results of research. These researches are necessary to get to know about the condition of inside climate of a building.

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Sudha, T. "Multi-Objective Optimization Based Multi-Objective Controller Tuning Method with Robust Stabilization of Fractional Calculus CSTR." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 16 (July 8, 2021): 375–82. http://dx.doi.org/10.37394/23203.2021.16.32.

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In Continuous Stirred Tank Reactor (CSTR) have Fractional order PID with the nominal order PID controller has been used to Multi-Criteria Decision Making (MCDM) and EMO (Evolutionary Multi-objective Optimization) by adjustment of control parameters like Hybrid methods in Multi objective optimization. But, this Fractional order PID with the nominal PID controller has maximum performance estimation. Proposed research work focused the Flower Pollination Algorithm based on Multi objective optimization with Genetic evaluation and Fractional order PID with the nominal PID controller is provides CSTR

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Brintrup, A. M. "Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems." Journal of Biological Physics and Chemistry 6, no. 3 (2002): 137–46. http://dx.doi.org/10.4024/30605.jbpc.06.03.

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RAHDARI, V. "A MULTI-OBJECTIVE APPROACH FOR LAND CONSERVATION CAPABILITY EVALUATION USING MULTI-CRITERION EVALUATION MODELS." Applied Ecology and Environmental Research 16, no. 2 (2018): 1353–67. http://dx.doi.org/10.15666/aeer/1602_13531367.

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Schmidt, Frederick, Stephen MacDonell, and Andy M. Connor. "Multi-Objective Reconstruction of Software Architecture." International Journal of Software Engineering and Knowledge Engineering 28, no. 06 (2018): 869–92. http://dx.doi.org/10.1142/s0218194018500262.

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Design erosion is a persistent problem within the software engineering discipline. Software designs tend to deteriorate over time and there is a need for tools and techniques that support software architects when dealing with legacy systems. This paper presents an evaluation of a search-based software engineering (SBSE) approach intended to recover high-level architecture designs of software systems by structuring low-level artifacts into high-level architecture artifact configurations. In particular, this paper describes the performance evaluation of a number of metaheuristic search algorithm

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SAI, Ryosei, Takaaki FURUBAYASHI, and Toshihiko NAKATA. "ICOPE-15-1044 Quantitative evaluation of national energy security by using multi-objective analysis." Proceedings of the International Conference on Power Engineering (ICOPE) 2015.12 (2015): _ICOPE—15——_ICOPE—15—. http://dx.doi.org/10.1299/jsmeicope.2015.12._icope-15-_29.

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Low, Andre K. Y., Eleonore Vissol-Gaudin, Yee-Fun Lim, and Kedar Hippalgaonkar. "Mapping pareto fronts for efficient multi-objective materials discovery." Journal of Materials Informatics 3, no. 2 (2023): 11. http://dx.doi.org/10.20517/jmi.2023.02.

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With advancements in automation and high-throughput techniques, we can tackle more complex multi-objective materials discovery problems requiring a higher evaluation budget. Given that experimentation is greatly limited by evaluation budget, maximizing sample efficiency of optimization becomes crucial. We discuss the limitations of using hypervolume as a performance indicator and propose new metrics relevant to materials experimentation: such as the ability to perform well for complex high-dimensional problems, minimizing wastage of evaluations, consistency/robustness of optimization, and abil

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Fazlollahtabar, Hamed, and Mohammad Saidi-Mehrabad. "Optimizing multi-objective decision making having qualitative evaluation." Journal of Industrial & Management Optimization 11, no. 3 (2015): 747–62. http://dx.doi.org/10.3934/jimo.2015.11.747.

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GONZALEZ-ZUGASTI, JAVIER P., KEVIN N. OTTO, and CLIFFORD A. WHITCOMB. "Options-Based Multi-Objective Evaluation of Product Platforms." Naval Engineers Journal 119, no. 3 (2007): 89–106. http://dx.doi.org/10.1111/j.1559-3584.2007.00070.x.

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Scott, D. "Multi-objective economic evaluation of minor roading projects." Construction Management and Economics 5, no. 2 (1987): 169–81. http://dx.doi.org/10.1080/01446198700000015.

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Hussain, S. Jahir, and Ramalingam Sugumar. "Enhanced Whale Optimization Algorithm for Multi-Objective Node Disjoint Routing." Indian Journal Of Science And Technology 17, no. 21 (2024): 2138–49. http://dx.doi.org/10.17485/ijst/v17i21.3092.

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Objectives: The research goal is to identify node-disjoint pathways maximizing path lifetime, delivery ratio, etc. while establishing several node-disjoint paths to optimize routing and enhance interference reduction and PDR efficiency. Methods: In the MANET, the Enhanced Whale Optimization Algorithm (EWOA) is utilized to discover the most secure routing path. The dataset used in this research comprises simulated scenarios representing various network conditions and configurations, allowing for a comprehensive evaluation of the proposed work. The software employed for simulation and analysis i

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Lorenti, Gianmarco, Carlo Stefano Ragusa, Maurizio Repetto, and Luigi Solimene. "Data-Driven Constraint Handling in Multi-Objective Inductor Design." Electronics 12, no. 4 (2023): 781. http://dx.doi.org/10.3390/electronics12040781.

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This paper analyses the multi-objective design of an inductor for a DC-DC buck converter. The core volume and total losses are the two competing objectives, which should be minimised while satisfying the design constraints on the required differential inductance profile and the maximum overheating. The multi-objective optimisation problem is solved by means of a population-based metaheuristic algorithm based on Artificial Immune Systems (AIS). Despite its effectiveness in finding the Pareto front, the algorithm requires the evaluation of many candidate solutions before converging. In the case

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Ahmadianshalchi, Alaleh, Syrine Belakaria, and Janardhan Rao Doppa. "Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (2024): 10784–94. http://dx.doi.org/10.1609/aaai.v38i10.28951.

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We consider the problem of multi-objective optimization (MOO) of expensive black-box functions with the goal of discovering high-quality and diverse Pareto fronts where we are allowed to evaluate a batch of inputs. This problem arises in many real-world applications including penicillin production where diversity of solutions is critical. We solve this problem in the framework of Bayesian optimization (BO) and propose a novel approach referred to as Pareto front-Diverse Batch Multi-Objective BO (PDBO). PDBO tackles two important challenges: 1) How to automatically select the best acquisition f

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Liu, Shengyu, Xiaogang Qi, and Lifang Liu. "Multi-Objective Task Scheduling of Circuit Repair." Axioms 11, no. 12 (2022): 714. http://dx.doi.org/10.3390/axioms11120714.

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With the development of technology and the increase of equipment usage intensity, the original support mode of circuit repair, with an ideal model and single objective, is no longer applicable. Therefore, we focus on improving the support mode of circuit repair in this article. First, in this article, we propose three rest strategies, and consider the scheduling optimization of flexible rest for repair teams, for the first time. We build a more scientific and comprehensive mathematical model for the task scheduling of circuit repair. Specifically, this model aims to maximize benefits and minim

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Song, Lu-Kai, Yat-Sze Choy, Shuai Zhang, and Bai-Ling Wang. "Multi-XGB: A multi-objective reliability evaluation approach for aeroengine turbine discs." Digital Engineering 2 (September 2024): 100006. http://dx.doi.org/10.1016/j.dte.2024.100006.

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Belakaria, Syrine, Aryan Deshwal, Nitthilan Kannappan Jayakodi, and Janardhan Rao Doppa. "Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (2020): 10044–52. http://dx.doi.org/10.1609/aaai.v34i06.6561.

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We consider the problem of multi-objective (MO) blackbox optimization using expensive function evaluations, where the goal is to approximate the true Pareto set of solutions while minimizing the number of function evaluations. For example, in hardware design optimization, we need to find the designs that trade-off performance, energy, and area overhead using expensive simulations. We propose a novel uncertainty-aware search framework referred to as USeMO to efficiently select the sequence of inputs for evaluation to solve this problem. The selection method of USeMO consists of solving a cheap

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Price, Andrew R., Richard J. Myerscough, Ivan I. Voutchkov, Robert Marsh, and Simon J. Cox. "Multi-objective optimization of GENIE Earth system models." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1898 (2009): 2623–33. http://dx.doi.org/10.1098/rsta.2009.0039.

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The tuning of parameters in climate models is essential to provide reliable long-term forecasts of Earth system behaviour. We apply a multi-objective optimization algorithm to the problem of parameter estimation in climate models. This optimization process involves the iterative evaluation of response surface models (RSMs), followed by the execution of multiple Earth system simulations. These computations require an infrastructure that provides high-performance computing for building and searching the RSMs and high-throughput computing for the concurrent evaluation of a large number of models.

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Toffolo, Andrea, and Ernesto Benini. "Genetic Diversity as an Objective in Multi-Objective Evolutionary Algorithms." Evolutionary Computation 11, no. 2 (2003): 151–67. http://dx.doi.org/10.1162/106365603766646816.

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A key feature of an efficient and reliable multi-objective evolutionary algorithm is the ability to maintain genetic diversity within a population of solutions. In this paper, we present a new diversity-preserving mechanism, the Genetic Diversity Evaluation Method (GeDEM), which considers a distance-based measure of genetic diversity as a real objective in fitness assignment. This provides a dual selection pressure towards the exploitation of current non-dominated solutions and the exploration of the search space. We also introduce a new multi-objective evolutionary algorithm, the Genetic Dive

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Salmimaa, Marja, and Toni Järvenpää. "20.4: Objective Evaluation of Multi-View Autostereoscopic 3D Displays." SID Symposium Digest of Technical Papers 39, no. 1 (2008): 267. http://dx.doi.org/10.1889/1.3069642.

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Radcliffe, Larry L., and Marc J. Schniederjans. "Trust evaluation: an AHP and multi‐objective programming approach." Management Decision 41, no. 6 (2003): 587–95. http://dx.doi.org/10.1108/00251740310484867.

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Amato, Alba, and Salvatore Venticinque. "Modelling, design and evaluation of multi-objective cloud brokering." International Journal of Web and Grid Services 11, no. 1 (2015): 21. http://dx.doi.org/10.1504/ijwgs.2015.067163.

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23

ALIOUI, Youssef, and Reşat ACAR. "AN EVALUATION OF A CONSTRAINED MULTI-OBJECTIVE GENETIC ALGORITHM." Journal of Scientific Perspectives 4, no. 2 (2020): 137–46. http://dx.doi.org/10.26900/jsp.4.011.

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Srdjevic, B., Y. D. P. Medeiros, and A. S. Faria. "An Objective Multi-Criteria Evaluation of Water Management Scenarios." Water Resources Management 18, no. 1 (2004): 35–54. http://dx.doi.org/10.1023/b:warm.0000015348.88832.52.

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25

Zhang, Hongyu, Wen Yi, Haoran Li, and Shuaian Wang. "Performance metrics evaluation of multi-objective optimization for transportation." Electronic Research Archive 33, no. 6 (2025): 3968–88. https://doi.org/10.3934/era.2025176.

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Xue, Xingsi, Pei-Wei Tsai, and Yucheng Zhuang. "Matching Biomedical Ontologies through Adaptive Multi-Modal Multi-Objective Evolutionary Algorithm." Biology 10, no. 12 (2021): 1287. http://dx.doi.org/10.3390/biology10121287.

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To integrate massive amounts of heterogeneous biomedical data in biomedical ontologies and to provide more options for clinical diagnosis, this work proposes an adaptive Multi-modal Multi-Objective Evolutionary Algorithm (aMMOEA) to match two heterogeneous biomedical ontologies by finding the semantically identical concepts. In particular, we first propose two evaluation metrics on the alignment’s quality, which calculate the alignment’s statistical and its logical features, i.e., its f-measure and its conservativity. On this basis, we build a novel multi-objective optimization model for the b

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27

Xie, Diya, Shijun Chen, Weibin Huang, Guangwen Ma, and Jieyao Chen. "Multi-objective Dispatching Benefit Evaluation System for Cascade Hydropower Stations." MATEC Web of Conferences 246 (2018): 02040. http://dx.doi.org/10.1051/matecconf/201824602040.

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In order to master the dispatching level of cascade hydropower stations and guide them to know how to operate in the future, based on the analysis of the factors affecting the dispatching results, a multiobjective evaluation system of power generation, flood regulation, ecology and water supply, which combines qualitative analysis with quantitative analysis, is constructed in this paper. The AHP method is used to solve the problem of determining the weights among the factors and the evaluation criteria. The quasi part adopts the idea of frequency division calculation to divide the evaluation g

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Long, Jian Xiong. "Research on a Fuzzy Choice Function in Multi-Objective Fuzzy Decision." Applied Mechanics and Materials 347-350 (August 2013): 3–6. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3.

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In the multi-objective fuzzy decision-making system, the decision-making problems will be encountered in the multi-objective and multi-evaluation process, so that it does not achieve effective decision-making results. How to solve this multi-objective decision making problems, a fuzzy choice function is proposed, that will be proved an effective method of fuzzy evaluation. The multi-objective decision making problem in the selection and evaluation is effectively solved in a decision-making system by using of the fuzzy choice function.

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Matsuzaki, Yusuke, Takafumi Matsuura, and Takayuki Kimura. "Evaluation of an effective solving method based on cooperative multi-objective differential evolution for multi-objective optimization problems." Nonlinear Theory and Its Applications, IEICE 15, no. 2 (2024): 404–20. http://dx.doi.org/10.1587/nolta.15.404.

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Bi, Lei, Bing Yu Ren, Deng Hua Zhong, and Lian Xing Hu. "Evaluation and Optimal Selection of Diversion Tunnels Construction Simulation Schemes Based on Multi-Level Fuzzy Comprehensive Evaluation." Applied Mechanics and Materials 368-370 (August 2013): 1361–65. http://dx.doi.org/10.4028/www.scientific.net/amm.368-370.1361.

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Traditional project evaluation and optimal selection based on multi-objective programming and Delphi is highly dependent on subjective cognition, difficult to define weighted coefficient and without considering the uncertainty of the indexes. To solve these problems, this paper builds a multi-level fuzzy comprehensive evaluation model for the evaluation and optimal selection of diversion tunnels construction simulation schemes, and unites entropy weight and analytic hierarchy process (AHP) to calculate composite index weights. Through the comprehensive evaluation in a real-life diversion tunne

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An, Ya Kun, Le Zheng, Jun Ying Song, Zheng Ye, and Wen Qing Cheng. "A Multi-Objective Assessment for Primary Frequency of Generator." Applied Mechanics and Materials 740 (March 2015): 325–30. http://dx.doi.org/10.4028/www.scientific.net/amm.740.325.

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The ability of the generator unit response frequency change is the key issue of assessing primary frequency regulation. Meanwhile, the setting of speed regulating system parameter greatly affects primary frequency performance of generators. Therefore, this paper proposes a comprehensive evaluation system, which can comprehensively analyze and evaluate the ability of primary frequency regulation from various aspects. It combines speed regulating system parameter index with common evaluation index. In this part, the author puts forward a multi-objective assessment algorithm. Firstly, when genera

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Wang, Xian Jie, Xun An Zhang, and Yeda Lian. "The Multi-Objective Optimization under Random Loads." Applied Mechanics and Materials 166-169 (May 2012): 548–52. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.548.

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Structure optimization seeks to achieve the best performance for a structure while satisfying various constrains such as a given probability. In the traditional mathematical model of structure optimization, the goal and the restraint functions are given without considering the randomness of the structural system. In this paper, the random loads and strength are described by probability method, the structure reliability is considered as objective function. Using the genetic algorithm, the mega-sub controlled structural systems is multi-objective optimization designed based on the structure reli

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Li, Li, Yixin Long, and Chongmei Peng. "A Multi-Objective Evaluation Method for Smart Highway Operation and Management." Applied Sciences 14, no. 13 (2024): 5694. http://dx.doi.org/10.3390/app14135694.

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Smart highways represent a novel highway concept in the era of big data, emphasizing the synergy among people, vehicles, road facilities, and the environment. However, the operation and management of smart highways have become more intricate, surpassing the adaptability of traditional highway evaluation and management methods. This study integrates the distinctive characteristics of smart highway facilities and operational objectives to enhance and modernize the existing highway evaluation system. Drawing from research on smart highway construction projects, a smart highway evaluation system e

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Tuncay, Mustafa, and Ali Haydar. "Comparison of a novel dominance-based differential evolution method with the state-of-the-art methods for solving multi-objective real-valued optimization problems." EUREKA: Physics and Engineering, no. 3 (May 27, 2021): 14–25. https://doi.org/10.21303/2461-4262.2021.001857.

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Differential Evolution algorithm (DE) is a well-known nature-inspired method in evolutionary computations scope. This paper adds some new features to DE algorithm and proposes a novel method focusing on ranking technique. The proposed method is named as Dominance-Based Differential Evolution, called DBDE from this point on, which is the improved version of the standard DE algorithm. The suggested DBDE applies some changes on the selection operator of the Differential Evolution (DE) algorithm and modifies the crossover and initialization phases to improve the performance of DE. The dominance ra

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Khodadadi, Nima, Mahdi Azizi, Siamak Talatahari, and Pooya Sareh. "Multi-Objective Crystal Structure Algorithm (MOCryStAl): Introduction and Performance Evaluation." IEEE Access 9 (2021): 117795–812. http://dx.doi.org/10.1109/access.2021.3106487.

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Kaji, Hirotaka, and Hajime Kita. "Individual Evaluation Scheduling for Experiment-Based Evolutionary Multi-Objective Optimization." IEEJ Transactions on Electronics, Information and Systems 128, no. 6 (2008): 986–96. http://dx.doi.org/10.1541/ieejeiss.128.986.

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Hong, Y., L. F. Hao, P. C. Wang, W. B. Liu, H. M. Zhang, and R. G. Wang. "Structural Design and Multi-Objective Evaluation of Composite Bladed Propeller." Polymers and Polymer Composites 22, no. 3 (2014): 275–82. http://dx.doi.org/10.1177/096739111402200308.

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ZHANG, Hong-xia, Rong-heng LIN, Bin-bin HUANG, and Xiao-mei QI. "Fuzzy multi-objective collaborative evaluation for business process family configuration." Journal of China Universities of Posts and Telecommunications 20 (December 2013): 11–16. http://dx.doi.org/10.1016/s1005-8885(13)60228-9.

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Schniederjans, Marc J., Michelle L. Pantoya, James J. Hoffman, and Darrin L. Willauer. "A multi-objective modeling approach for energetic material evaluation decisions." European Journal of Operational Research 194, no. 3 (2009): 629–36. http://dx.doi.org/10.1016/j.ejor.2008.01.014.

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Kubotani, Hiroyuki, and Kazuyuki Yoshimura. "Performance evaluation of acceptance probability functions for multi-objective SA." Computers & Operations Research 30, no. 3 (2003): 427–42. http://dx.doi.org/10.1016/s0305-0548(01)00109-5.

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Davins-Valldaura, Joan, Saïd Moussaoui, Guillermo Pita-Gil, and Franck Plestan. "ParEGO extensions for multi-objective optimization of expensive evaluation functions." Journal of Global Optimization 67, no. 1-2 (2016): 79–96. http://dx.doi.org/10.1007/s10898-016-0419-3.

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Kaji, Hirotaka, and Hajime Kita. "Individual evaluation scheduling for experiment-based evolutionary multi-objective optimization." Electronics and Communications in Japan 93, no. 2 (2010): 12–24. http://dx.doi.org/10.1002/ecj.10224.

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Hai, Tao, Rassol Hamed Rasheed, Aman Sharma, et al. "Multi-objective optimization evaluation of renewable and clean methanol synthesis." International Journal of Low-Carbon Technologies 20 (2025): 443–52. https://doi.org/10.1093/ijlct/ctae295.

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Abstract This study examines the feasibility of establishing a power-to-fuel facility for synthesizing renewable methanol (e-methanol) through the integration of green hydrogen and captured carbon dioxide. Hydrogen is produced via water electrolysis using surplus renewable electricity, while carbon dioxide is captured from a conventional power plant’s emissions through an amine-based absorption process. Despite the current economic constraints, with production costs exceeding current market prices for methanol, the study highlights potential future competitiveness, especially considering impen

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Do, M., and S. Kambhampati. "SAPA: A Multi-objective Metric Temporal Planner." Journal of Artificial Intelligence Research 20 (December 1, 2003): 155–94. http://dx.doi.org/10.1613/jair.1156.

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SAPA is a domain-independent heuristic forward chaining planner that can handle durative actions, metric resource constraints, and deadline goals. It is designed to be capable of handling the multi-objective nature of metric temporal planning. Our technical contributions include (i) planning-graph based methods for deriving heuristics that are sensitive to both cost and makespan (ii) techniques for adjusting the heuristic estimates to take action interactions and metric resource limitations into account and (iii) a linear time greedy post-processing technique to improve execution flexibility o

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Liu, Qi, Jiahao Liu, and Dunhu Liu. "Intelligent Multi-Objective Public Charging Station Location with Sustainable Objectives." Sustainability 10, no. 10 (2018): 3760. http://dx.doi.org/10.3390/su10103760.

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This paper investigates a multi-objective charging station location model with the consideration of the triple bottom line principle for green and sustainable development from economic, environmental and social perspectives. An intelligent multi-objective optimization approach is developed to handle this problem by integrating an improved multi-objective particle swarm optimization (MOPSO) process and an entropy weight method-based evaluation process. The MOPSO process is utilized to obtain a set of Pareto optimal solutions, and the entropy weight method-based evaluation process is utilized to

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You, Yong Bin, and Ting Ting Li. "Grey Intuitionistic Fuzzy Sets and its Application in Performance Evaluation of Image Fusion." Advanced Materials Research 753-755 (August 2013): 3033–38. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.3033.

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As an important branch of multi-sensor information fusion, image fusion has been applied in many areas. During the past years, many algorithms have been proposed to solve the fusion issue. However, research on the objective performance evaluation of image fusion is relatively less. Basic methods for image fusion evaluation usually include subjective evaluations and objective evaluations. The evaluation of fused images is regarded as multi-attribute decision-make problem, thus a novel synthesis approach using grey intuitionistic fuzzy sets is proposed. The proposed approach constructs the membe

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Qin, Zhi Bin, Zhao Hui Liu, and Yu Zhi Li. "A Multi-Objective Model for Evaluation of Road-Region Ecosystem Stability." Applied Mechanics and Materials 48-49 (February 2011): 60–63. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.60.

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The concept of the road-region ecosystem is described and its environmental features analyzed. In addition, the stability of the road-region ecosystem is summarized. A scientific and rational evaluation of road-region ecosystem stability is proposed to properly investigate the relationship between highway construction and protection of the ecological environment. This paper investigated a method for determining an index system to be used to evaluate road-region ecosystem stability. It put forward an index system for assessing road-region ecosystem stability as a reference. On the basis of deta

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Yang, Cheng Hui. "Multi-Objective Programming and Time Optimal Algorithm Research." Advanced Materials Research 852 (January 2014): 715–19. http://dx.doi.org/10.4028/www.scientific.net/amr.852.715.

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As the elevator group control system of airport logistics has the characteristics of multi-objective, non-linearity, uncertainty, disturbances and incomplete information and so on, to improve the service quality and operational efficiency of elevator group control system, we created a more comprehensive performance evaluation index function. We used the algorithm called multi-objective optimization, which can reduce the time passengers waiting for the ladder, avoid crowding, and use less energy. According to different demands, select different optimal combination, to meet passengers' demands a

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Kapeller, Christian, Braulio Sespede, Matej Nezveda, et al. "Objective and Subjective Evaluation of a Multi-Stereo 3D Reconstruction System." Electronic Imaging 2020, no. 2 (2020): 138–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.2.sda-138.

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In recent years, 3D reconstruction systems comprising multiple depth sensors have received increasing interest for dynamic scene reconstruction and related applications. Publicly available ground truth data are of limited usefulness when dealing with quality assessment of self-recorded data delivered by customized stereo configurations. In this paper, we propose a framework that incorporates versatile strategies for quantitative and qualitative evaluation of a multi-stereo reconstruction system and its intermediate products. Besides the design of suitable calibration objects for quantitative m

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Sanchez-Gómez, Jesús Manuel, Miguél Ángel Vega-Rodríguez, and Carlos J. Pérez. "A Decomposition-based Multi-Objective Optimization Approach for Extractive Multi-Document Text Summarization." Applied Soft Computing 91 (June 5, 2020): 106231. https://doi.org/10.1016/j.asoc.2020.106231.

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Currently, due to the over ow of textual information on the Internet, automatic text summarization methods are becoming increasingly important in many  elds of knowledge. Extractive multi-document text summarization approaches are intended to automatically generate summaries from a document collection, covering the main content and avoiding redundant information. These approaches can be addressed through optimization techniques. In the scientific literature, most of them are single-objective optimization approaches,but recently multi-objective approaches have been developed and they have

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