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A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Date : 2025-12-25 Size : 1kb User : soroosh

DL : 0
用matlab实现启发式算法布谷鸟算法,非常适合初学者使用-New heuristic- CS algorithm for the production optimization problem using matlab,very suitable for beginners to use
Date : 2025-12-25 Size : 3kb User : 王峰

DL : 0
This program is a matlab code for heuristic optimization algorithm based on GA-PSO.
Date : 2025-12-25 Size : 2kb User : fariba

蚂蚁算法 蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出,其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。这种算法具有分布计算、信息正反馈和启发式搜索的特征,本质上是进化算法中的一种启发式全局优化算法。蚁群系统(Ant System或Ant Colony System)是由意大利学者Dorigo、Maniezzo等人于20世纪90年代首先提出来的。他们在研究蚂蚁觅食的过程中,发现单个蚂蚁的行为比较简单,但是蚁群整体却可以体现一些智能的行为。例如蚁群可以在不同的环境下,寻找最短到达食物源的路径。这是因为蚁群内的蚂蚁可以通过某种信息机制实现信息的传递。后又经进一步研究发现,蚂蚁会在其经过的路径上释放一种可以称之为“信息素”的物质,蚁群内的蚂蚁对“信息素”具有感知能力,它们会沿着“信息素”浓度较高路径行走,而每只路过的蚂蚁都会在路上留下“信息素”,这就形成一种类似正反馈的机制,这样经过一段时间后,整个蚁群就会沿着最短路径到达食物源了。(ant algorithm Ant colony algorithm is a probabilistic algorithm used to find the optimal path. It was proposed by Marco Dorigo in his doctoral dissertation in 1992, inspired by the way ants find paths in the search for food. This algorithm has the characteristics of distributed computation, positive feedback of information and heuristic search. It is essentially a heuristic global optimization algorithm in evolutionary algorithm. Ant colony system (Ant System or Ant Colony System) was first proposed by Italy scholars Dorigo, Maniezzo and others in 1990s. They studied ants foraging process, found that the behavior of a single ant is relatively simple, but the ant colony as a whole can reflect some intelligent behavior.)
Date : 2025-12-25 Size : 3kb User : joyslee

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进化算法(如纯遗传算法)是元启发式算法。 这意味着,它们是一个通用框架和一组概念准则,可用于创建特定的算法以解决特定的问题。 因此,本文中介绍的示例可以看作是实验和创建进化优化代码的起点,而不是固定的静态代码库。(Evolutionary algorithms (such as pure genetic algorithms) are meta heuristic algorithms. This means that they are a generic framework and a set of conceptual guidelines that can be used to create specific algorithms to solve specific problems. Therefore, the examples presented in this article can be seen as the starting point for experiments and the creation of evolutionary optimization code, rather than a fixed static code library.)
Date : 2025-12-25 Size : 144kb User : jjbong

yalmip混合整数规划优化问题,电力生产安排问题。(This file provides matlab Matlab matlab tool combined with yalmip toolbox for power system optimization of the study. MATPOWER is powerful in power flow and in solving the best power flow. It is very important for power management because it can reduce power system losses and improve system performance. In the power flow solution of the MATPOWER process, it can be applied to the convenient solution in the heuristic optimization.)
Date : 2025-12-25 Size : 1kb User : logichui

基于万有引力搜索的元启发式优化算法,在无需其他介质的情况下,能够表现出很强的全局搜索能力。(Gravitational search meta heuristic optimization algorithm based on no other media, can show Qiangde global search ability.)
Date : 2025-12-25 Size : 5kb User : visdo

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海洋捕食者算法(MPA)是一种自然启发式的优化算法,它遵循在最佳觅食策略中自然支配的规则,并且在海洋生态系统中遇到捕食者与猎物之间的速率策略。(Marine predator algorithm (MPA) is a natural heuristic optimization algorithm, which follows the rules of natural dominance in the optimal foraging strategy, and encounters the rate strategy between predators and prey in the marine ecosystem.)
Date : 2025-12-25 Size : 6kb User : 落幕的秋天
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