Teacher training enhances the teaching-learning-based optimisation metaheuristic when used to solve multiple-choice multidimensional knapsack problems
暂无分享,去创建一个
[1] John E. Beasley,et al. A Genetic Algorithm for the Multidimensional Knapsack Problem , 1998, J. Heuristics.
[2] Yun Lu,et al. An OR Practitioner's Solution Approach for the Set Covering Problem , 2015, Int. J. Appl. Metaheuristic Comput..
[3] Kin F. Li,et al. Solving the Knapsack Problem for Adaptive Multimedia Systems , 2002, Stud. Inform. Univ..
[4] Mhand Hifi,et al. A Reactive Local Search-Based Algorithm for the Multiple-Choice Multi-Dimensional Knapsack Problem , 2006, Comput. Optim. Appl..
[5] R. Venkata Rao,et al. Multi-objective optimization of two stage thermoelectric cooler using a modified teaching-learning-based optimization algorithm , 2013, Eng. Appl. Artif. Intell..
[6] R. Venkata Rao,et al. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..
[7] Paolo Toth,et al. Knapsack Problems: Algorithms and Computer Implementations , 1990 .
[8] Raymond R. Hill,et al. First-level tabu search approach for solving the multiple-choice multidimensional knapsack problem , 2013, Int. J. Metaheuristics.
[9] Pravat Kumar Rout,et al. Application of Multi-Objective Teaching Learning based Optimization Algorithm to Optimal Power Flow Problem☆ , 2012 .
[10] R. Venkata Rao,et al. Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems , 2012, Inf. Sci..
[11] R. Rao,et al. Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm , 2013 .
[12] Zuren Feng,et al. An ant colony optimization approach to the multiple-choice multidimensional knapsack problem , 2010, GECCO '10.