The Application Of Modified Particle Swarm Optimization Algorithm In Knapsack Problem
Cheng Zheyua
Abstract
Cheng Zheyua
Abstract
Based on the analysis of the knapsack problem,the aim of this article is to use the particle swarm algorithm with inertia weight and with a shrinkage factor improved particle swarm optimization to solve the knapsack problem, and discuss the influence of changed parameters, through a multi-trials, and ultimately obtained the optimal solution to the knapsack problem with known optimal solution consistent.
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Based on the analysis of the knapsack problem,the aim of this article is to use the particle swarm algorithm with inertia weight and with a shrinkage factor improved particle swarm optimization to solve the knapsack problem, and discuss the influence of changed parameters, through a multi-trials, and ultimately obtained the optimal solution to the knapsack problem with known optimal solution consistent.
Key concepts: Knapsack problem, Particle swarm optimization, Continuous knapsack problem, Mathematical optimization, Inertia, Multi-swarm optimization, Algorithm, Cutting stock problem