genetic algorithm

Mdmtspv ga multiple depot multiple traveling salesmen problem solved by genetic algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for mdmtspv ga multiple depot multiple traveling salesmen problem solved by genetic algorithm. Finds a (near) optimal solution to a variation of the M-TSP (that has a variable number of salesmen) by setting up a GA to search for the shortest route (least distance needed or the salesmen to travel to each city exactly once and return to their starting locations).

Genetic Algorithm Matlab Code

Genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] 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.

genetic algorithm

Functional optimization of non linear function using genetic algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for functional optimization of non linear function using genetic algorithm. Functional Optimization Of Non linear Function(y=sinx) using Genetic Algorithm. Crossover and mutation are used to generated the other chromosomes. This is repeated for generations to get the maximum value of the nonlinear function.

Model determination using genetic algorithm application to vapour pressure vs temperature equations in matlab

The following Matlab project contains the source code and Matlab examples used for model determination using genetic algorithm application to vapour pressure vs temperature equations. We use the genetic algorithm (gatool) to determine the three parameters of the simple Antoine equation and the six parameters of the Modified Antoine Model.
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