作者: Kaushik Kumar Bhattacharjee , S.P. Sarmah
DOI: 10.1109/IEEM.2015.7385611
关键词:
摘要: Knapsack problems are one of the classical NP-hard problem and it offers many practical applications in vast field different areas. Several traditional as well population based metaheuristic algorithms applied to solve this problem. In paper, we introduce binary version firefly algorithm (FA) for solving knapsack problems, specially 01 The modified utilizes advantages variable distance move along with opposition-based learning mechanism efficiently. So far FA is generally continuous optimization problems. order investigate performance on combinatorial problem, an attempt made paper. To demonstrate efficiency proposed extensive computational study provided standard bench mark instances comparison particle swarm also carried out.