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The Application Of Modified Particle Swarm Optimization Algorithm In Knapsack Problem

Cheng Zheyua

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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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What this paper is about

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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Available 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.

Key concepts: Knapsack problem, Particle swarm optimization, Continuous knapsack problem, Mathematical optimization, Inertia, Multi-swarm optimization, Algorithm, Cutting stock problem

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