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An effective modified binary particle swarm optimization (mBPSO) algorithm for multi-objective resource allocation problem (MORAP)

  • Published:2013-09 Issue: Volume:221 Page:257-267
  • ISSN:0096-3003
  • Container-title:Applied Mathematics and Computation
  • language:en
  • Short-container-title:Applied Mathematics and Computation

Author:

Fan Kun,You Weijia,Li Yuanyuan

Funder

Youth Elite Project for Beijing Universities and the Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference28 articles.

1. A new efficient encoding mode of genetic algorithms for the generalized plant allocation problem;Hou;J. Inf. Sci. Eng.,2004

2. Environmental flow requirements for integrated water resources allocation in the Yellow River Basin, China;Yang;Commun. Nonlinear Sci. Numer.,2009

3. An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem;Zhang;Comput. Ind. Eng.,2009

4. Optimal testing-resource allocation with genetic algorithm for modular software systems;Dai;J. Syst. Softw.,2003

5. Resource allocation during tests for optimally reliable software;Berman;Comput. Oper. Res.,2004

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