A single queen single worker honey–bees approach to 3-SAT

作者: Hussein A. Abbass

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摘要: Modelling the behavior of social insects has attracted much research recently. Although honey– bees exhibit many features that encourage their use as models for intelligent behavior, up to our knowledge, no attempt using honey-bees a basis optimization been made in literature. Some distinguish honey–bees are division labor, communication on individual and group level, cooperative behavior. This paper presents novel search algorithm inspired by marriage process honey–bees. The is applied special class propositional satisfiability problems (SAT) known 3–SAT, where each clause contains exactly three literals. Two versions proposed algorithm, which incorporate well heuristic SAT, developed. two heuristics employed version GSAT random walk. objective this scrutinize compare its 3–SAT against both alone. analysis undertaken parameters gleaned from biological concepts; these are, colony size amount time devoted brood–care.

参考文章(25)
Bart Selman, Henry A. Kautz, An empirical study of greedy local search for satisfiability testing national conference on artificial intelligence. pp. 46- 51 ,(1993)
Francisco B. Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso, Graph based crossover – a case study with the Busy Beaver problem genetic and evolutionary computation conference. pp. 1149- 1155 ,(1999)
Stephen A. Cook, David G. Mitchell, Finding hard instances of the satisfiability problem: A survey. Satisfiability Problem: Theory and Applications. pp. 1- 17 ,(1996)
Holger H. Hoos, On the run-time behaviour of stochastic local search algorithms for SAT national conference on artificial intelligence. pp. 661- 666 ,(1999)
Francisco B. Pereira, Ernesto Costa, The Influence of Learning in the Evolution of Busy Beavers evoworkshops on applications of evolutionary computing. pp. 421- 430 ,(2001) , 10.1007/3-540-45365-2_44
Penousal Machado, Francisco B. Pereira, Amílcar Cardoso, Ernesto Costa, Busy Beaver - The Influence of Representation Lecture Notes in Computer Science. pp. 29- 38 ,(1999) , 10.1007/3-540-48885-5_3
Darrell Whitley, V. Scott Gordon, Keith Mathias, Lamarckian Evolution, The Baldwin Effect and Function Optimization parallel problem solving from nature. pp. 6- 15 ,(1994) , 10.1007/3-540-58484-6_245
George S. Boolos, Richard C. Jeffrey, Computability and Logic ,(1974)
Derick Wood, Theory of computation ,(1986)