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Journal articles on the topic 'Compromise solution'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Miller, Judith. "Surrogate Motherhood: a Compromise Solution." Politics and the Life Sciences 8, no. 2 (1990): 242–44. http://dx.doi.org/10.1017/s0730938400009813.

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Soleimani–Damaneh, Majid, and Moslem Zamani. "On compromise solutions in multiple objective programming." RAIRO - Operations Research 52, no. 2 (2018): 383–90. http://dx.doi.org/10.1051/ro/2017071.

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Compromise solutions, as feasible points as close as possible to the ideal (utopia) point, are important solutions in multiple objective programming. It is known in the literature that each compromise solution is a properly efficient solution if the sum of the image set and conical ordering cone is closed. In this paper, we prove the same result in a general setting without any assumption.

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Muslih, Muhammad. "The March toward a Compromise Solution." Journal of Palestine Studies 15, no. 3 (1986): 126–29. http://dx.doi.org/10.2307/2536754.

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4

Ballestero, Enrique, and Carlos Romero. "Portfolio Selection: A Compromise Programming Solution." Journal of the Operational Research Society 47, no. 11 (1996): 1377. http://dx.doi.org/10.2307/3010203.

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Arora, Kavita Shah, and Allan J. Jacobs. "Female genital alteration: a compromise solution." Journal of Medical Ethics 42, no. 3 (2016): 148–54. http://dx.doi.org/10.1136/medethics-2014-102375.

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Ballestero, Enrique, and Carlos Romero. "Portfolio Selection: A Compromise Programming Solution." Journal of the Operational Research Society 47, no. 11 (1996): 1377–86. http://dx.doi.org/10.1057/jors.1996.173.

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7

Voorneveld, M., A. van den Nouweland, and R. McLean. "Axiomatizations of the Euclidean compromise solution." International Journal of Game Theory 40, no. 3 (2010): 427–48. http://dx.doi.org/10.1007/s00182-010-0240-z.

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8

Lahiri, Somdeb. "A compromise solution for claims problems." European Journal of Operational Research 73, no. 1 (1994): 39–43. http://dx.doi.org/10.1016/0377-2217(94)90139-2.

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Yang, Wenying, Jiuwei Guo, Yang Liu, and Guofu Zhai. "The Design of Contactors Based on the Niching Multiobjective Particle Swarm Optimization." Complexity 2018 (July 4, 2018): 1–10. http://dx.doi.org/10.1155/2018/9054623.

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Contactors are important components in circuits. To solve the multiobjective optimization problems (MOPs) of contactors, a niching multiobjective particle swarm optimization (NMOPSO) with the entropy weight ideal point theory is proposed in this paper. The new algorithm selecting and archiving the nondominated solutions based on the niching theory to ensure the diversity of the nondominated solutions. To avoid missing the extreme solutions of each objective during the multiobjective optimization process, extra particle swarms used to search the independent optimal solution of each objective ar

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Gebreel, Alia Youssef. "The Best Compromise Solution for Multi-objective Programming Problems." International Journal of Global Operations Research 4, no. 4 (2023): 189–204. http://dx.doi.org/10.47194/ijgor.v4i4.241.

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This paper focuses on multi-objective optimization problems that are an important part of operations research. This part is concerned with mathematical optimization problems involving two or more interdependent objectives to be optimized simultaneously. Thus, there is not a single optimal solution for multi-objective problems, but a set of solutions that represents the compromise (Pareto-optimal, efficient, non-dominated, trade-off, or non-inferior) solutions and can be visualized as Pareto front in the objective space. The best solution of this set has the shortest distance to the ideal (utop

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11

Smith, N. "Book Interview: When compromise isn't the solution." Engineering & Technology 12, no. 10 (2017): 82–83. http://dx.doi.org/10.1049/et.2017.1030.

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OPRICOVIC, SERAFIM. "A FUZZY COMPROMISE SOLUTION FOR MULTICRITERIA PROBLEMS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no. 03 (2007): 363–80. http://dx.doi.org/10.1142/s0218488507004728.

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The VIKOR-F method has been developed to solve fuzzy multicriteria problem with conflicting and noncommensurable (different units) criteria. It determines the compromise solution that is the "closest" to the ideal. Imprecision in multicriteria decision making can be modelled using fuzzy set theory to define criteria and the importance of criteria. This method solves problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to handle imprecise numerical quantities. It is based on the aggregating fuzzy merit that represents distance

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Opricovic, Serafim. "A Compromise Solution in Water Resources Planning." Water Resources Management 23, no. 8 (2008): 1549–61. http://dx.doi.org/10.1007/s11269-008-9340-y.

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Chen, W., M. M. Wiecek, and J. Zhang. "Quality Utility—A Compromise Programming Approach to Robust Design." Journal of Mechanical Design 121, no. 2 (1999): 179–87. http://dx.doi.org/10.1115/1.2829440.

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In robust design, associated with each quality characteristic, the design objective often involves multiple aspects such as “bringing the mean of performance on target” and “minimizing the variations.” Current ways of handling these multiple aspects using either the Taguchi’s signal-to-noise ratio or the weighted-sum method are not adequate. In this paper, we solve bi-objective robust design problems from a utility perspective by following upon the recent developments on relating utility function optimization to a Compromise Programming (CP) method. A robust design procedure is developed to al

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Pavlov, Oleksandr, Oleksandra Vozniuk, and Olena Zhdanova. "THE LINEAR-FRACTIONAL PROGRAMMING PROBLEM UNDER UNCERTAINTY CONDITIONS." Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, no. 1 (5) (July 12, 2021): 20–28. http://dx.doi.org/10.20998/2079-0023.2021.01.04.

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This paper addresses the problem of linear-fractional programming under uncertainty. The uncertainty here is understood as the ambiguity of the coefficients’ values in the optimized functional. We give two mathematical formulations of the problem. In the first one, the uncertainty refers to the numerator: there are several sets of objective function coefficients, each coefficient can determine the numerator of the problem’s criterion at the stage of its solution implementation. The uncertainty in the second formulation refers to the denominator of the functional. We propose several compromise

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Felfel, Houssem, Omar Ayadi, and Faouzi Masmoudi. "Pareto Optimal Solution Selection for a Multi-Site Supply Chain Planning Problem Using the VIKOR and TOPSIS Methods." International Journal of Service Science, Management, Engineering, and Technology 8, no. 3 (2017): 21–39. http://dx.doi.org/10.4018/ijssmet.2017070102.

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In this paper, a multi-objective, multi-product, multi-period production and transportation planning problem in the context of a multi-site supply chain is proposed. The developed model attempts simultaneously to maximize the profit and to maximize the product quality level. The objective of this paper is to provide the decision maker with a front of Pareto optimal solutions and to help him to select the best Pareto solution. To do so, the epsilon-constraint method is adopted to generate the set of Pareto optimal solutions. Then, the technique for order preference by similarity to ideal soluti

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Díaz-Balteiro, Luis, and Carlos Romero. "Modeling Timber Harvest Scheduling Problems with Multiple Criteria: An Application in Spain." Forest Science 44, no. 1 (1998): 47–57. http://dx.doi.org/10.1093/forestscience/44.1.47.

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Abstract This paper presents a multicriteria procedure for forest planning problems. The basic ingredients of this procedure are multigoal programming, compromise programming, and results connecting the best-compromise solutions with the concept of utility optima. The main feature of the procedure lies in the easy and transparent utility interpretation of some single best-compromise solutions even when the utility function, as is usual in a forestry context, is virtually unknown. The theoretical developments are applied to a timber harvest scheduling problem in Spain. The criteria considered a

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Lakshminarayan, P. G., Jay Dee Atwood, Stanley R. Johnson, and Vince A. Sposito. "Compromise solution for economic-environmental decisions in agriculture." Journal of Environmental Management 33, no. 1 (1991): 51–64. http://dx.doi.org/10.1016/s0301-4797(05)80047-7.

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Bouzidi, Mohammed, Ahmed Amro, Yaser Dalveren, and Faouzi Alaya Cheikh Alaya Cheikh. "LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution." Sensors 23, no. 4 (2023): 2078. http://dx.doi.org/10.3390/s23042078.

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Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. However, LPWANs are vulnerable to cyber attacks that can disrupt the normal operation of the network or compromise sensitive information. Therefore, analyzing cybersecurity risks before deploying an LPWAN is essential, as it helps identify potential vulnerabilities and threats as well as allowing for proactive measures to be taken to secure the network and protect against potentia

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Rao, Ravipudi Venkata. "BHARAT: A simple and effective multi-criteria decision-making method that does not need fuzzy logic, Part-2: Role in multi- and many-objective optimization problems." International Journal of Industrial Engineering Computations 15, no. 1 (2024): 1–12. http://dx.doi.org/10.5267/j.ijiec.2023.12.004.

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A simple and effective multi-attribute decision-making method, named as BHARAT method, is proposed in Part-1 of this paper and the same method is used now as a multi- and many-objective decision-making method for evaluating the Pareto optimal solutions. The proposed BHARAT method is used to identify the best compromise Pareto solution. Based on their importance for the given optimization problem, the objectives are ranked, and the weights are assigned. The weights of the objectives and the normalized values of the objectives for different Pareto optimal solutions are used to compute the total

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Bellamy, Richard, Markus Kornprobst, and Christine Reh. "Introduction: Meeting in the Middle." Government and Opposition 47, no. 3 (2012): 275–95. http://dx.doi.org/10.1111/j.1477-7053.2012.01363.x.

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AbstractCompromise is routinely evoked in everyday language and in scholarly debates across the social sciences. Yet, it has been subjected to relatively little systematic study. The introduction to this inter-disciplinary volume addresses the research gap in three steps. First, we offer three reasons for the study of compromise: its empirical omnipresence in politics, its theoretical potential to bridge the rationalist-constructivist divide, and its normative promise to recognize the plurality of society. Second, we introduce different approaches to the coherence, legitimacy and limits of com

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Chen, Pinzhong, and Zhongliang Pan. "Hydrothermal performance analysis and multi-objective optimization of microchannel 3D-IC with alternating secondary flow channels." Thermal Science, no. 00 (2024): 282. https://doi.org/10.2298/tsci241005282c.

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Embedding microchannels in a 3D-IC can alleviate heat dissipation problems. In this paper, microchannel 3D-IC with alternating secondary flow channel was proposed and geometric parameters were optimized. Non-dominated Sorting Genetic Algorithm II was used for Pareto optimization. Optimization solutions (Rt_best, Pp_best and ?best) were selected in Pareto front. The optimization objective values of these solutions are all less than the corresponding values of conventional design. Based on Pareto front, a compromise solution for Technique for Order Preference by Similarity to an Ideal Solution w

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Block, Walter. "Evictionism: the only compromise solution to the abortion controversy." Studia z Historii Filozofii 15, no. 1 (2024): 57–66. http://dx.doi.org/10.12775/szhf.2024.004.

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One of the most important philosophical debates now tearing our nation apart is the one concerning abortion. In this matter, there can be little controversy. The present paper is an attempt to patch up this matter by offering a compromise solution, that gives each side, pro-choice and pro-life, half a loaf. Moreover, it is a principled compromise, not merely adding up the two sides and dividing them equally. No cutting babies in half, here.

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Zuolo, Federico, and Giulia Bistagnino. "Disagreement, Peerhood, and Compromise." Social Theory and Practice 44, no. 4 (2018): 593–618. http://dx.doi.org/10.5840/soctheorpract201891848.

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This paper addresses the problem of pluralism in democratic societies, by exploiting some insights from the debate about the epistemology of disagreement. First, by focusing on the permissibility of experiments on nonhuman animals for research purposes, we provide an epistemic analysis of deep normative disagreements. We understand that to mean disagreements in which epistemic peers disagree about both the substantive content of an ethical issue and the correct justificatory reasons for their contrary claims. Second, we argue for a compromise solution in which the reasons for reaching it are n

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Opricovic, Serafim. "Compromise in cooperative game and the VIKOR method." Yugoslav Journal of Operations Research 19, no. 2 (2009): 225–38. http://dx.doi.org/10.2298/yjor0902225o.

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Five approaches in conflict resolution are distinguished, based on cooperativeness and aggressiveness in resolving conflict. Compromise based on cooperativeness is emphasized here as a solution in conflict resolution. Cooperative game theory oriented towards aiding the conflict resolution is considered and the compromise value for TU(transferable utility)-game is presented. The method VIKOR could be applied to determine compromise solution of a multicriteria decision making problem with noncommensurable and conflicting criteria. Compromise is considered as an intermediate state between conflic

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Kristania, Yustina Meisella. "Penerapan Combined Compromise Solution Method Dalam Penentuan Penerima Beasiswa." CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics 1, no. 2 (2023): 44–55. https://doi.org/10.58602/chain.v1i2.27.

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This study aims to solve the problem of determining scholarship recipients through a decision support system with output in the form of ranking using the Combined Compromise Solution Method. The application of the Combined Compromise Solution (CoCoSo) method in determining scholarship recipients will result in a comparison of the scores of all students who register to receive scholarships from schools. So that through the decision support system developed it can produce prospective scholarship recipients according to predetermined criteria and the selection process does not take long because t

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Kaci, Mustapha, and Sonia Radjef. "The set of all the possible compromises of a multi-level multi-objective linear programming problem." Croatian operational research review 13, no. 1 (2022): 13–30. http://dx.doi.org/10.17535/crorr.2022.0002.

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In this paper, a new approach is developed to solve multi-level multi-objective linear programming problems (ML-MOLPP), by providing the set of all the compromises without taking into account the hierarchy of the problem. A simple criterion is developed for testing whether a given feasible solution is a possible compromise or not. We describe a method used to generate the set of all the compromises, based on the P.L. Yu and M. Zeleny’s method. Theoretical results, numerical example and flow diagram are reported.

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Kovář, P., M. Pelikán, D. Heřmanovská, and I. Vrana. "How to reach a compromise solution on technical and non-structural flood control measures." Soil and Water Research 9, No. 4 (2014): 143–52. http://dx.doi.org/10.17221/27/2014-swr.

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Harmful impacts of floods are the result of an interaction between extreme hydrological events and environmental, social, and economic processes. Flood management should consider many diverse aspects and influences and an integrated approach to flood management therefore plays an important role. In order to make an analysis and provide an adequate flood management, it is necessary to bring together a team comprising experts e.g. from the fields of hydrology and water resources, nature protection, risk management, human security, municipal administration, economics, and land use. Estimates by e

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Mavi, R. Kiani, A. Makui, S. Fazli, and A. Alinezhad. "Practical common weights compromise solution approach for technology selection." International Journal of Procurement Management 3, no. 2 (2010): 214. http://dx.doi.org/10.1504/ijpm.2010.030736.

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Chicurel, Ricardo. "A compromise solution for energy recovery in vehicle braking." Energy 24, no. 12 (1999): 1029–34. http://dx.doi.org/10.1016/s0360-5442(99)00054-7.

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Khan, M. G. M., M. J. Ahsan, and Nujhat Jahan. "Compromise allocation in multivariate stratified sampling: An integer solution." Naval Research Logistics 44, no. 1 (1997): 69–79. http://dx.doi.org/10.1002/(sici)1520-6750(199702)44:1<69::aid-nav4>3.0.co;2-k.

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Setämaa-Kärkkäinen, Anne, Kaisa Miettinen, and Jarkko Vuori. "Best compromise solution for a new multiobjective scheduling problem." Computers & Operations Research 33, no. 8 (2006): 2353–68. http://dx.doi.org/10.1016/j.cor.2005.02.006.

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Gupta, Neha, Irfan Ali, and Abdul Bari. "Interactive Fuzzy Goal Programming approach in multi-response stratified sample surveys." Yugoslav Journal of Operations Research 26, no. 2 (2016): 241–58. http://dx.doi.org/10.2298/yjor141021005g.

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In this paper, we applied an Interactive Fuzzy Goal Programming (IFGP) approach with linear, exponential and hyperbolic membership functions, which focuses on maximizing the minimum membership values to determine the preferred compromise solution for the multi-response stratified surveys problem, formulated as a Multi- Objective Non Linear Programming Problem (MONLPP), and by linearizing the nonlinear objective functions at their individual optimum solution, the problem is approximated to an Integer Linear Programming Problem (ILPP). A numerical example based on real data is given, and compari

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Kong, Yanjun, Yadong Mei, Xianxun Wang, and Yue Ben. "Solution Selection from a Pareto Optimal Set of Multi-Objective Reservoir Operation via Clustering Operation Processes and Objective Values." Water 13, no. 8 (2021): 1046. http://dx.doi.org/10.3390/w13081046.

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Multi-objective evolutionary algorithms (MOEAs) are widely used to optimize multi-purpose reservoir operations. Considering that most outcomes of MOEAs are Pareto optimal sets with a large number of incomparable solutions, it is not a trivial task for decision-makers (DMs) to select a compromise solution for application purposes. Due to the increasing popularity of data-driven decision-making, we introduce a clustering-based decision-making method into the multi-objective reservoir operation optimization problem. Traditionally, solution selection has been conducted based on trade-off ranking i

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E. Sobana, V., D. Anuradha, and . "On Solving Bottleneck Bi-Criteria Fuzzy Transportation Problems." International Journal of Engineering & Technology 7, no. 4.10 (2018): 547. http://dx.doi.org/10.14419/ijet.v7i4.10.21278.

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A fuzzy block–dripping method (FBDM) has been proposed to find the best compromise solution and efficient solutions of the bottleneck bi-criteria transportation problem under uncertainty. The procedure of the proposed method is illustrated by numerical example.

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Višňovský, J., and M. Korenková. "Possible approaches to the solution of conflict situations in managerial practice." Agricultural Economics (Zemědělská ekonomika) 50, No. 8 (2012): 342–44. http://dx.doi.org/10.17221/5213-agricecon.

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Strategies used in conflict solutions include: avoiding, adjusting, coercion, compromise and cooperation. Although in our sample of respondents the most efficient strategy (cooperation) ranked No.1, almost the same preference was achieved by the strategy of coercion manifesting the directive style of management, which is becoming ineffective under present conditions.

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Vahdani, Behnam, Meghdad Salimi, and Seyed Meysam Mousavi. "A New Compromise Solution Model Based on Dantzig–Wolfe Decomposition for Solving Belief Multi-Objective Nonlinear Programming Problems with Block Angular Structure." International Journal of Information Technology & Decision Making 16, no. 02 (2017): 333–87. http://dx.doi.org/10.1142/s0219622017500043.

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This paper presents an integrated model based on a compromised solution method to solve fuzzy belief multi-objective large-scale nonlinear programming (FBMOLSNLP) problem with block angular structure. A new method is proposed to transfer each belief decision-making problem into some fuzzy problems. Furthermore, we propose a new compromise method of decision-making as one of the most efficient methods based on the particular measure of closeness to the ideal solution to aggregate multi-objective decision-making (MODM) problems into a single problem. The decomposition algorithm based on Dantzig–

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Fortaleza Klinger, Julius Nathan. "Road to the Civil War: The Missouri Compromise." Perceptions 4, no. 2 (2018): 5. http://dx.doi.org/10.15367/pj.v4i2.104.

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The purpose of this paper is to explore the question of whether or not early nineteenth-century lawmakers saw the Missouri Compromise of 1820 as a true solution to the question of slavery in the United States, or if it was simply a stopgap solution. The information used to conduct this research paper comes in the form of a collation of primary and secondary sources. My findings indicate that the debate over Missouri's statehood was in fact about slavery in the US, and that the underlying causes of the Civil War were already quite prevalent four whole decades before the conflict broke out.

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Mosteiro-Sanchez, Aintzane, Marc Barcelo, Jasone Astorga, and Aitor Urbieta. "Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes." Smart Cities 6, no. 2 (2023): 913–28. http://dx.doi.org/10.3390/smartcities6020044.

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Attribute spoofing is a major security threat in information exchange solutions based on Ciphertext-Policy Attribute-Based-Encryption (CP-ABE) and distributed CP-ABE (dCP-ABE), which can compromise privacy and security. This threat occurs when an attacker forces the Attribute Authorities to generate keys for attributes they do not possess. This paper analyzes the threat of attribute spoofing and identifies the primary attack vectors, including direct interference with the Attribute Authority and compromise of the shared attribute storage database. The authors propose a solution based on IOTA,

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Hakobyan, Ruben. "An Attempt for a Compromise Solution of the Shakespeare Question." Metamorphoses of history, no. 24 (2022): 0. http://dx.doi.org/10.37490/mh2022243.

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The proposed article is an attempt to look at the problem of the authorship of the works of William Shakespeare (Shakespeare authorship question), as if from the outside, since the author, considering this problem to be real, is not, however, a staunch supporter of any one approach. Shakespeare&apos;s question is two hundred years old. This is generally thought to be a problem with the authorship of Shakespeare&apos;s works. But in fact, the question lies in the very reason for the emergence of doubts about the authorship — in the discrepancy between the image of the real person — Will

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KARANDIKAR, H. M., and FARROKH MISTREE. "CONDITIONAL POST-SOLUTION ANALYSIS OF MULTIOBJECTIVE COMPROMISE DECISION SUPPORT PROBLEMS." Engineering Optimization 12, no. 1 (1987): 43–61. http://dx.doi.org/10.1080/03052158708941083.

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Marito, Julita, Wahyuni Betris Nainggolan, and Gede Surya Mahendra. "Penerapan Metode Combined Compromise Solution (CoCoSo) dalam Pemilihan Franchise Minuman." Jurnal Teknologi Terpadu 10, no. 1 (2023): 32–39. http://dx.doi.org/10.54914/jtt.v10i1.1183.

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Penelitian pada jurnal ini dilatar belakangi oleh industri franchise minuman yang kini telah menjadi salah satu sektor yang paling dinamis dalam bisnis global. Artikel ini bertujuan untuk meneliti penerapan metode Combined Compromise Solution (CoCoSo) pada Sistem Pengambilan Keputusan (SPK) dalam pemilihan franchise minuman. Data franchise minuman yang kami gunakan terdiri dari 9 brand yang cukup terkenal di kalangan masyarakat seperti, Kopi Kenangan, Es Teh Indonesia, Teh Poci, Calais Tea, Puyo Puyo, Gulu Gulu, Kopi Kulo, Xi boba, Kopi Yor. Dalam proses pengumpulan data yang kami lakukan deng

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Kitayama, Satoshi, and Koetsu Yamazaki. "J1201-4-5 Compromise solution Considering the Trade-Off Ratio." Proceedings of the JSME annual meeting 2009.7 (2009): 333–34. http://dx.doi.org/10.1299/jsmemecjo.2009.7.0_333.

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Kao, C., and H.-T. Hung. "Data envelopment analysis with common weights: the compromise solution approach." Journal of the Operational Research Society 56, no. 10 (2005): 1196–203. http://dx.doi.org/10.1057/palgrave.jors.2601924.

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Kitayama, Satoshi, Koetsu Yamazaki, Masao Arakawa, and Hiroshi Yamakawa. "2312 Calculation of the Compromise solution by Trade-Off Analysis." Proceedings of Design & Systems Conference 2008.18 (2008): 338–41. http://dx.doi.org/10.1299/jsmedsd.2008.18.338.

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Karagözoğlu, Emin, and Elif Özcan Tok. "Iterated egalitarian compromise solution to bargaining problems and midpoint domination." Operations Research Letters 46, no. 3 (2018): 282–85. http://dx.doi.org/10.1016/j.orl.2018.02.005.

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Vinodh, S., S. Sarangan, and S. Chandra Vinoth. "Application of fuzzy compromise solution method for fit concept selection." Applied Mathematical Modelling 38, no. 3 (2014): 1052–63. http://dx.doi.org/10.1016/j.apm.2013.07.027.

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Saputra, Very Hendra, and Temi Ardiansah. "Penerapan Combined Compromise Solution (CoCoSo) Method Dalam Sistem Pendukung Keputusan Pemilihan Modem." Jurnal Ilmiah Computer Science 1, no. 1 (2022): 7–16. http://dx.doi.org/10.58602/jics.v1i1.2.

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The choice of modem is an important decision in accessing the internet, because a modem is a key device that connects a computer device or network to internet services. The Combined Compromise Solution (CoCoSo) method is an approach used in multi-criteria decision making to balance various factors related to a problem. This study aims to apply the Combined Compromise Solution method in modem selection so that users get a modem that meets their needs well, provides a stable and fast internet connection. The results of alternative ranking using the Combined Compromise Solution (CoCoSo) method ga

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Rustagi, Krishna P., and B. Bruce Bare. "Resolving multiple goal conflicts with interactive goal programming." Canadian Journal of Forest Research 17, no. 11 (1987): 1401–7. http://dx.doi.org/10.1139/x87-217.

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Abstract:

A two-phase interactive goal programming procedure is described, which is potentially useful for resolving multiple-use conflicts where multiple and conflicting objectives exist. In the analytical phase, the procedure locates efficient solutions that are proportionally equidistant from the established goal targets. In the decision phase, these results are presented to the decision maker who either accepts the compromise solution provided by the analyst or revises the goal targets and enters into another iteration. The important features of the procedure are (i) the decision maker is not requir

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Rao, S. S., and T. I. Freiheit. "A Modified Game Theory Approach to Multiobjective Optimization." Journal of Mechanical Design 113, no. 3 (1991): 286–91. http://dx.doi.org/10.1115/1.2912781.

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Abstract:

Many mechanical and structural design problems encountered in practice require solutions which balance several conflicting objectives. The vector, scalarization, and trade-off-curve methods have been developed to achieve multiobjective solutions. One of the best known methods for generating a compromise solution, based on the concept of Pareto minimum solution, is the cooperative game theory method since it uses a scalarized approach and has a numerical measure of compromise. However, game theory is hard to automate due to a two step optimization process involved. Hence, in this work, a modifi

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