A modified artificial bee colony approach for the 0-1 knapsack problem

Author:

Cao Jie,Yin Baoqun,Lu Xiaonong,Kang Yu,Chen Xin

Funder

National Natural Science Foundation of China

Doctoral Program of Higher Education of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference44 articles.

1. Bansal JC, Deep K (2012) A modified binary particle swarm optimization for knapsack problems. Appl Math Comput 218(22):11:042–11:061

2. Bas E (2011) A capital budgeting problem for preventing workplace mobbing by using analytic hierarchy process and fuzzy 0–1 bidimensional knapsack model. Expert Systems with Applications 38(10):12:415–12:422

3. Billionnet A, Soutif É (2004) An exact method based on lagrangian decomposition for the 0–1 quadratic knapsack problem. Eur J Oper Res 157(3):565–575

4. Chaharsooghi SK, Kermani AHM (2008) An intelligent multi-colony multi-objective ant colony optimization (aco) for the 0–1 knapsack problem. In: IEEE congress on evolutionary computation, 2008. CEC 2008. (IEEE world congress on computational intelligence). IEEE, pp 1195–1202

5. Chen S, Gao C, Li X, Lu Y, Zhang Z (2015) A rank-based ant system algorithm for solving 0/1 knapsack problem. J Comput Inf Syst 11(20):7423–7430

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