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首页> 外文期刊>International Journal of Bio-Inspired Computation >Discrete differential evolutions for the discounted {0-1} knapsack problem
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Discrete differential evolutions for the discounted {0-1} knapsack problem

机译:折扣{0-1}背包问题的离散差分演变

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摘要

This paper first proposes a discrete differential evolution algorithm for discounted {0-1} knapsack problems (D{0-1} KP) based on feasible solutions represented by the 0-1 vector. Subsequently, based on two encoding mechanisms of transforming a real vector into an integer vector, two new algorithms for solving D{0-1} KP are given through using integer vectors defined on {0, 1, 2, 3} n to represent feasible solutions of the problem. Finally, the paper conducts a comparative study on the performance between our proposed three discrete differential evolution algorithms and those developed by common genetic algorithms for solving several types of large scale D{0-1} KP problems. The paper confirms the feasibility and effectiveness of designing discrete differential evolution algorithms for D{0-1} KP by encoding conversion approaches.
机译:本文首先提出了一种基于由0-1向量表示的可行解决方案的折扣{0-1}背包问题(D {0-1} KP)的离散差分演进算法。 随后,基于将真实向量转换为整数向量的两个编码机制,通过使用在{0,1,2,3} n上定义的整数矢量来给出用于求解D {0-1} Kp的两个新算法来表示可行性 问题的解决方案。 最后,本文对我们提出的三个离散差分演进算法和共同遗传算法开发的性能进行了比较研究,用于解决若干类型的大规模D {0-1} KP问题。 本文通过编码转换方法,确认为D {0-1} KP设计离散差分演化算法的可行性和有效性。

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