Parallel biased search for combinatorial optimization: genetic algorithms and TABU
Microprocessors & Microsystems
A parallel simulated annealing algorithm
Parallel Computing
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Parallel genetic algorithm to solve the satisfiability problem
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
Fortran subroutines for computing approximate solutions of weighted MAX-SAT problems using GRASP
Discrete Applied Mathematics
Parallel ant colonies for the quadratic assignment problem
Future Generation Computer Systems - Special issue on bio-impaired solutions to parallel processing problems
Parallel Genetic Algorithms Population Genetics and Combinatorial Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
Parallel Ant Colonies for Combinatorial Optimization Problems
Proceedings of the 11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing
Problem-Independent Parallel Simulated Annealing using Selection and Migration
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Scatter Search with Random Walk Strategy for SAT and MAX-W-SAT Problems
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Solving the Satisfiability Problem by a Parallel Celluar Genetic Algorithm.
EUROMICRO '98 Proceedings of the 24th Conference on EUROMICRO - Volume 2
Parallel ACS for weighted MAX-SAT
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Cooperative bees swarm for solving the maximum weighted satisfiability problem
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review
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In this paper, we present a parallel version of the Bees Swarm Optimisation (BSO) metaheuristic. Firstly, we present a sequential algorithm, then we expose the original and innovative approach used for its parallelisation. Experiments comparing the performances of the sequential and the parallel algorithms in solving instances of the weighted maximum satisfiability problem are presented. A comparison is also done between BSO and other metaheuristics performances.