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Clustered Genetic Algorithm to solve Multidimensional Knapsack Problem
2017
International Journal of Trend in Scientific Research and Development
Genetic Algorithm (GA) has emerged as a powerful tool to discover optimal for multidimensional knapsack problem (MDKP). Multidimensional knapsack problem has recognized as NP-hard problem whose applications in many areas like project selection, capital budgeting, loading problems, cutting stock etc. Attempts has made to develop cluster genetic algorithm (CGA) by mean of modified selection and modified crossover operators of GA. Clustered genetic algorithm consist of (1) fuzzy roulette wheel
doi:10.31142/ijtsrd2237
fatcat:ecp3antnybbuvpfb6wklmkmrs4