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Relevant bibliographies by topics / Heuristic research

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Academic literature on the topic 'Heuristic research'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Heuristic research"

1

Hyatt, Robert P. "Heuristic Research." Tradition and Discovery: The Polanyi Society Periodical 38, no. 3 (2011): 71–74. http://dx.doi.org/10.5840/traddisc2011/201238329.

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Liang, Rui Shi, and Min Huang. "Heuristics for Domain-Independent Planning: A Survey." Applied Mechanics and Materials 135-136 (October 2011): 573–77. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.573.

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Increasing interest has been devoted to Planning as Heuristic Search over the years. Intense research has focused on deriving fast and accurate heuristics for domain-independent planning. This paper reports on an extensive survey and analysis of research work related to heuristic derivation techniques for state space search. Survey results reveal that heuristic techniques have been extensively applied in many efficient planners and result in impressive performances. We extend the survey analysis to suggest promising avenues for future research in heuristic derivation and heuristic search techn

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Savolainen, Reijo. "Heuristics elements of information-seeking strategies and tactics: a conceptual analysis." Journal of Documentation 73, no. 6 (October 9, 2017): 1322–42. http://dx.doi.org/10.1108/jd-11-2016-0144.

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Purpose The purpose of this paper is to elaborate the picture of strategies and tactics for information seeking and searching by focusing on the heuristic elements of such strategies and tactics. Design/methodology/approach A conceptual analysis of a sample of 31 pertinent investigations was conducted to find out how researchers have approached heuristics in the above context since the 1970s. To achieve this, the study draws on the ideas produced within the research programmes on Heuristics and Biases, and Fast and Frugal Heuristics. Findings Researchers have approached the heuristic elements

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Wilt, Christopher, and Wheeler Ruml. "Effective Heuristics for Suboptimal Best-First Search." Journal of Artificial Intelligence Research 57 (October 31, 2016): 273–306. http://dx.doi.org/10.1613/jair.5036.

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Suboptimal heuristic search algorithms such as weighted A* and greedy best-first search are widely used to solve problems for which guaranteed optimal solutions are too expensive to obtain. These algorithms crucially rely on a heuristic function to guide their search. However, most research on building heuristics addresses optimal solving. In this paper, we illustrate how established wisdom for constructing heuristics for optimal search can fail when considering suboptimal search. We consider the behavior of greedy best-first search in detail and we test several hypotheses for predicting when

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Shanklin, Roslyn, Philip Kortum, and Claudia Ziegler Acemyan. "Adaptation of Heuristic Evaluations for the Physical Environment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1135–39. http://dx.doi.org/10.1177/1071181320641272.

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Previous work has investigated the need for domain specific heuristics. Nielsen’s ten heuristics offer a general list of principles, but those principles may not capture usability issues specific to a given interface. Studies have demonstrated methods to establish a domain specific heuristic set, but very little research has been conducted on interfaces in the physical environment, creating a gap in the state-of-the-art. The research described in this paper aims to address this gap by developing an environmental heuristic set; the heuristic set was developed specifically for the Houston light

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Ursani, Ziauddin, and David W. Corne. "Introducing Complexity Curtailing Techniques for the Tour Construction Heuristics for the Travelling Salesperson Problem." Journal of Optimization 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/4786268.

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In this paper, complexity curtailing techniques are introduced to create faster version of insertion heuristics, that is, cheapest insertion heuristic (CIH) and largest insertion heuristic (LIH), effectively reducing their complexities fromO(n3)toO(n2)with no significant effect on quality of solution. This paper also examines relatively not very known heuristic concept of max difference and shows that it can be culminated into a full-fledged max difference insertion heuristic (MDIH) by defining its missing steps. Further to this the paper extends the complexity curtailing techniques to MDIH to

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Özcan, Ender, Mustafa Misir, Gabriela Ochoa, and Edmund K. Burke. "A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling." International Journal of Applied Metaheuristic Computing 1, no. 1 (January 2010): 39–59. http://dx.doi.org/10.4018/jamc.2010102603.

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Hyper-heuristics can be identified as methodologies that search the space generated by a finite set of low level heuristics for solving search problems. An iterative hyper-heuristic framework can be thought of as requiring a single candidate solution and multiple perturbation low level heuristics. An initially generated complete solution goes through two successive processes (heuristic selection and move acceptance) until a set of termination criteria is satisfied. A motivating goal of hyper-heuristic research is to create automated techniques that are applicable to a wide range of problems wi

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Drake, John H., Matthew Hyde, Khaled Ibrahim, and Ender Ozcan. "A genetic programming hyper-heuristic for the multidimensional knapsack problem." Kybernetes 43, no. 9/10 (November 3, 2014): 1500–1511. http://dx.doi.org/10.1108/k-09-2013-0201.

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Purpose – Hyper-heuristics are a class of high-level search techniques which operate on a search space of heuristics rather than directly on a search space of solutions. The purpose of this paper is to investigate the suitability of using genetic programming as a hyper-heuristic methodology to generate constructive heuristics to solve the multidimensional 0-1 knapsack problem Design/methodology/approach – Early hyper-heuristics focused on selecting and applying a low-level heuristic at each stage of a search. Recent trends in hyper-heuristic research have led to a number of approaches being de

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HIGGINS, A. J. "A PERCENTILE SEARCH HEURISTIC FOR GENERALIZED ASSIGNMENT PROBLEMS WITH A VERY LARGE NUMBER OF JOBS." Asia-Pacific Journal of Operational Research 22, no. 02 (June 2005): 171–88. http://dx.doi.org/10.1142/s0217595905000492.

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This article presents a new heuristic for generalized assignment problems with a very large number of jobs. The heuristic applies a probabilistic acceptance of a move, based on a percentile threshold, using information from recent moves. This percentile search heuristic (PSH) is compared to tabu search, simulated annealing, and threshold accepting using a rigorous computational experimentation with randomly generated problem instances of up to 50,000 jobs and 40 agents. The PSH did find the best solution among the heuristics for 45% of the instances, particularly larger size problems, versus 3

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Goldenberg, Meir. "The Heuristic Search Research Framework." Knowledge-Based Systems 129 (August 2017): 1–3. http://dx.doi.org/10.1016/j.knosys.2017.05.009.

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Dissertations / Theses on the topic "Heuristic research"

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Rolland, Erik. "Abstract heuristic search methods for graph partitioning." Connect to resource, 1991. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262633923.

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AKSAKALLI, VURAL. "Heuristic Methods for Gang-Rip Saw Arbor Design and Scheduling." NCSU, 1999. http://www.lib.ncsu.edu/theses/available/etd-19991102-031914.

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<p>AKSAKALLI, VURAL. Heuristic Methods for Gang-Rip Saw Arbor Design and Scheduling. (Under the direction of Dr. Yahya Fathi).This research considers the problem of designing and scheduling arbors for gang-rip saw systems. Such systems are typically used within the furniture manufacturing industry for processing lumber, where lumber boards are first ripped lengthwise into strips of different widths, and then, cut to the required lengths to be used in manufacturing.A saw with multiple cutting channels is used to perform this operation. This saw has fixed blades at specific positions on a rotati

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Höck, Barbar Katja. "An examination of heuristic algorithms for the travelling salesman problem." Master's thesis, University of Cape Town, 1988. http://hdl.handle.net/11427/22268.

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The role of heuristics in combinatorial optimization is discussed. Published heuristics for the Travelling Salesman Problem (TSP) were reviewed and morphological boxes were used to develop new heuristics for the TSP. New and published heuristics were programmed for symmetric TSPs where the triangle inequality holds, and were tested on micro computer. The best of the quickest heuristics was the furthest insertion heuristic, finding tours 3 to 9% above the best known solutions (2 minutes for 100 nodes). Better results were found by longer running heuristics, e.g. the cheapest angle heuristic (CC

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Maye, P. J. "Exact and heuristic methods of finding network structure in linear programs." Thesis, Coventry University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276165.

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Asgharzadeh, Talebi Zohreh. "Exact and Heuristic Methods for solving the View-Selection Problem for Aggregate Queries." NCSU, 2006. http://www.lib.ncsu.edu/theses/available/etd-05092006-123513/.

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In this thesis we present a formal study of the following view-selection problem: Given a set of queries, a database, and an upper bound on the amount of disk space that can be used to store materialized views, return definitions of views that, when materialized in the database, would reduce the evaluation costs of the queries. Optimizing the layout of stored data using view selection has a direct impact on the performance of the entire database system. At the same time, the optimization problem is intractable, even under natural restrictions on the types of queries of interest. We introduce a

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Samson, Duncan Alistair. "The heuristic significance of enacted visualisation." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1003434.

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This study is centred on an analysis of pupils' lived experience while engaged in the generalisation of linear sequences/progressions presented in a pictorial context. The study is oriented within the conceptual framework of qualitative research, and is anchored within an interpretive paradigm. A case study methodological strategy was adopted, the research participants being the members of a mixed gender, high ability Grade 9 class of 23 pupils at an independent school in South Africa. The analytical framework is structured around a combination of complementary multiple perspectives provided b

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Khambhampati, Surya Sudha. "A Tabu Search Heuristic for Multi-Period Clustering to Rationalize Delivery Operations." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1210959864.

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Shah, Mahesh. "A heuristic method for the optimal design of water distribution systems." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/88600.

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The water distribution system design problem consists of finding a minimum cost combination of network layout and sizes of system components so as to satisfy flow demands, minimum and maximum head requirements and a reliability criterion. A two step procedure is proposed to find a near optimal design. The first step considers obtaining a near optimal tree layout using a heuristic tree search algorithm. Two different methods are followed for the tree search - one for single source networks and the other for multiple source networks. The second step adds loop forming redundant links to the tree

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Cain, Mark J. "A GAMS-based model of the U.S. Army Wartime Ammunition Distribution System for the Corps level." Thesis, Monterey, California. Naval Postgraduate School, 1985. http://hdl.handle.net/10945/23244.

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Approved for public release; distribution is unlimited<br>The U.S. Army Wartime Ammunition Distribution System (WADS) will experience an unprecedented demand for ammunition under the operational concept of Airland Battle. To meet demand, proper storage facility location and an efficient flow through the distribution network will be required. Using information from Army Field Manuals, maps and simulation data for demand, both a mixed integer program (MIP) and a sequential, optimization-based heuristic are developed to model the WADS. The Generalized Algebraic Modelling System is used to impleme

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Hiremath, Chaitr. "New Heuristic And Metaheuristic Approaches Applied To The Multiple-choice Multidimensional Knapsack Problem." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1203960454.

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Books on the topic "Heuristic research"

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Moustakas, Clark E. Heuristic research: Design, methodology, and applications. Newbury Park: Sage Publications, 1990.

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2

Austin, Veronica. Learning from experience: Heuristic research study based on one music therapy session. [Guildford]: [University of Surrey], 1999.

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3

Pietraś, Ziemowit Jacek. Sztuczna inteligencja w politologii: Heurystyczne modelowanie procesów adaptacji politycznej. Lublin: Wydawn. Uniwersytetu Marii Curie-Skłodowskiej, 1990.

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4

Linear A and Cypro-Minoan in the light of heuristics and cryptology: A research report. Szczecin: B.Z. Szałek, 2005.

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5

Woodruff, David L. Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search: Interfaces in Computer Science and Operations Research. Boston, MA: Springer US, 1998.

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Farahutdinov, Shamil'. Current trends and innovative methods in marketing research. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1016648.

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This tutorial provides an overview of modern and innovative research methods used in marketing. The main focus is on innovative methods that are just becoming widespread, as well as on traditional methods that are being transformed as a result of existing trends in the modern digital age. The theoretical and technical aspects underlying the methods under consideration, a brief history of their origin, heuristic possibilities and limitations are revealed. In some cases, examples of use are provided, as well as indications of useful resources and practical use of methods in individual research p

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Simulating science: Heuristics, mental models, and technoscientific thinking. Bloomington: Indiana University Press, 1992.

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Szałek, Benon Zbigniew. The etruscan problem in the light of heuristics: A research report. Shczecin: B.Z. Szałek, 2003.

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Szałek, Benon Zbigniew. The mayan problem in the light of heuristics: (a research report). Szczecin [Poland]: PPH ZAPOL, 2004.

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10

Vo€, Stefan. Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization. Boston, MA: Springer US, 1999.

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Book chapters on the topic "Heuristic research"

1

Salhi, Saïd. "Applications, Conclusion and Research Challenges." In Heuristic Search, 189–209. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49355-8_7.

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Jaiswal, N. K. "Heuristic Optimization." In Military Operations Research, 169–208. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6275-7_7.

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Gass, Saul I., and Carl M. Harris. "heuristic." In Encyclopedia of Operations Research and Management Science, 731. New York, NY: Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_905.

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Gass, Saul I., and Carl M. Harris. "heuristic." In Encyclopedia of Operations Research and Management Science, 731. New York, NY: Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_906.

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Klein, Robert. "Heuristic Procedures." In Operations Research/Computer Science Interfaces Series, 161–211. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4629-0_5.

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Salomon, Marc, Roelof Kuik, and Luk N. Van Wassenhove. "A Lagrangian Heuristic for Multilevel Lotsizing." In Operations Research Proceedings, 433–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77254-2_49.

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Lang, Rainer, and Thomas Milius. "A Heuristic for the Nesting Problem." In Operations Research ’92, 130–31. Heidelberg: Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_36.

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Höhn, Sviatlana, and Kerstin Bongard-Blanchy. "Heuristic Evaluation of COVID-19 Chatbots." In Chatbot Research and Design, 131–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68288-0_9.

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Dresbach, Stefan. "A New Heuristic Layout Algorithm for DAGs." In Operations Research Proceedings, 121–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79459-9_23.

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Burke, Edmund, Moshe Dror, Sanja Petrovic, and Rong Qu. "Hybrid Graph Heuristics within a Hyper-Heuristic Approach to Exam Timetabling Problems." In Operations Research/Computer Science Interfaces Series, 79–91. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-23529-9_6.

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Conference papers on the topic "Heuristic research"

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Downs, Simon T., and Claire A. Lerpiniere. "The Future of Heuristic Fossils." In Design Research Society Conference 2018. Design Research Society, 2018. http://dx.doi.org/10.21606/drs.2018.612.

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Zhou, Qiang, Yanbin Fan, and Changjiang Wei. "Heuristic Routing Protocol Research on Opportunistic Networks." In 2012 IEEE 14th Int'l Conf. on High Performance Computing and Communication (HPCC) & 2012 IEEE 9th Int'l Conf. on Embedded Software and Systems (ICESS). IEEE, 2012. http://dx.doi.org/10.1109/hpcc.2012.254.

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Li, Fa-chao, and Fei Guan. "Heuristic Model Research on Decision Tree Algorithm." In 2009 International Asia Symposium on Intelligent Interaction and Affective Computing (ASIA). IEEE, 2009. http://dx.doi.org/10.1109/asia.2009.34.

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Liu, Yang, and Miao Zhang. "Financial websites oriented heuristic anti-phishing research." In 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2012. http://dx.doi.org/10.1109/ccis.2012.6664247.

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Dou, Jihua, Xingbao Yang, and Chuanwei Zhu. "Heuristic Teaching Method Research for Complex Systems." In Proceedings of the 5th International Conference on Arts, Design and Contemporary Education (ICADCE 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icadce-19.2019.162.

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Piyadasun, Thilina, Buwaneka Kalansuriya, Malaka Gangananda, Minudika Malshan, H. M. N. Dilum Bandara, and Suresh Marru. "Rationalizing police patrol beats using heuristic-based clustering." In 2017 Moratuwa Engineering Research Conference (MERCon). IEEE, 2017. http://dx.doi.org/10.1109/mercon.2017.7980523.

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Steinmetz, Marcel, and Joerg Hoffmann. "LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/672.

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Two strands of research in classical planning are LP heuristics and conjunctions to improve approximations. Combinations of the two have also been explored. Here, we focus on convergence properties, forcing the LP heuristic to equal the perfect heuristic h* in the limit. We show that, under reasonable assumptions, partial variable merges are strictly dominated by the compilation Pi^C of explicit conjunctions, and that both render the state equation heuristic equal to h* for a suitable set C of conjunctions. We show that consistent potential heuristics can be computed from a variant of Pi^C, an

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Liu-bin, SHANG, Wang Wei, and Liu Zhi-hua. "Research on Heuristic Mutated Particle Swarm Optimization Algorithm." In 2019 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2019. http://dx.doi.org/10.1109/icus48101.2019.8996019.

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Li, Yang, Yan Sun, Chengshan Han, Xiaodong Wang, and Shuyan Xu. "Algorithm Research of Flexible Graphplan based on Heuristic." In 2008 9th International Conference for Young Computer Scientists (ICYCS). IEEE, 2008. http://dx.doi.org/10.1109/icycs.2008.473.

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Bianchini, Carlo, Alessandro Viscogliosi, and Alessandro Aglietti. "Innovative Digital Heuristic Approaches in Architectural Historical Research." In 2017 21st International Conference on Information Visualisation (IV). IEEE, 2017. http://dx.doi.org/10.1109/iv.2017.47.

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