The continuous artificial bee colony algorithm for binary optimization

摘要: This paper introduces an ABC variant to solve binary optimization problems.The performance of the proposed method is investigated on well-known UFLPs.The compared with variants and PSO variants.The experimental results show that algorithm alternative tool for optimization. Artificial bee colony (ABC) algorithm, one swarm intelligence algorithms, has been continuous optimization, inspired intelligent behaviors real honey colony. For problems having structured solution space, basic should be modified because its version solving problems. In this study, adapted ABC, ABCbin short, model problems, despite fact artificial agents in works food source position obtained by converted values, before objective function specific problem evaluated. The accuracy approach have examined 15 benchmark instances uncapacitated facility location problem, are particle (CPSO), (BPSO), improved (IBPSO), (binABC) discrete (DisABC). also analyzed under change control parameter values. comparisons simple terms quality robustness.