
Genocop
 Referenced in 877 articles
[sw04707]
 Genocop, by Zbigniew Michalewicz, is a genetic algorithmbased program for constrained and unconstrained optimization...

Scatter Search
 Referenced in 235 articles
[sw05291]
 contrast to other evolutionary methods like genetic algorithms, scatter search is founded on the premise...

ABC
 Referenced in 134 articles
[sw10950]
 results produced by ABC, Genetic Algorithm (GA), Particle Swarm Algorithm (PSO) and Particle Swarm Inspired...

GALib
 Referenced in 54 articles
[sw04086]
 GAlib: A C++ Library of Genetic Algorithm Components. GAlib contains a set of C++ genetic ... library includes tools for using genetic algorithms to do optimization in any C++ program using ... overview of how to implement a genetic algorithm as well as examples illustrating customizations...

CALMA
 Referenced in 84 articles
[sw03235]
 Norwich, and Toulouse. The participants developed optimization algorithms based on branchandcut and constraint ... variety of local search methods, genetic algorithms, neural networks, and potential reduction. These algorithms were...

PAES
 Referenced in 76 articles
[sw04159]
 multiobjective evolutionary algorithms  the Niched Pareto Genetic Algorithm (NPGA) and a nondominated sorting GA (NSGA...

GAToolBox
 Referenced in 49 articles
[sw08681]
 Genetic Algorithm Toolbox for MATLAB ® was developed at the Department of Automatic Control and Systems...

Genetic Algorithm and Direct Search Toolbox
 Referenced in 22 articles
[sw13052]
 Genetic Algorithm and Direct Search Toolbox (GADS) extends the optimization capabilities in MATLAB ... with tools for using the genetic and direct search algorithms. You can use these algorithms ... unreliable or undefined derivatives. The Genetic Algorithm and Direct Search Toolbox complements other optimization methods...

TTTPLOTS
 Referenced in 36 articles
[sw07712]
 combinatorial optimization, such as simulated annealing, genetic algorithms, iterated local search, tabu search, WalkSAT...

CFGGA
 Referenced in 15 articles
[sw02592]
 grouping genetic algorithm for the cell formation problem. In manufacturing, the machinepart cell formation ... paper presents and tests a grouping genetic algorithm (GGA) for solving the MPCF problem ... this study, CFGGA, a grouping genetic algorithm for the cell formation problem, performs very...

MOTGA
 Referenced in 14 articles
[sw02666]
 MOTGA: a multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem. A new multiobjective ... genetic algorithm based on the Chebyshev scalarizing function, which aims to generate a good approximation ... called MOTGA (multiple objective Chebyshev based genetic algorithm) has been designed to the multiobjective multidimensional...

PGAPack
 Referenced in 16 articles
[sw04922]
 generalpurpose, datastructureneutral parallel GENETIC ALGORITHM library. It is intended to provide most ... capabilities desired in a genetic algorithm library, in an integrated, seamless, and portable manner. Features...

VICONOPT
 Referenced in 18 articles
[sw10341]
 using either manual selection or a genetic algorithm. VICONOPT models are validated with ABAQUS finite...

BIANCA
 Referenced in 10 articles
[sw02081]
 BIANCA: a genetic algorithm to solve hard combinatorial optimisation problems in engineering The genetic algorithm ... composite laminates is a multipopulation genetic algorithm capable to deal with unconstrained and constrained ... information is extensively exploited during genetic operations. Moreover, we developed proper and original strategies...

PIKAIA
 Referenced in 9 articles
[sw04744]
 Stellar structure modeling using a parallel genetic algorithm for objective global optimization Genetic algorithms ... optimization subroutine PIKAIA, which utilizes a genetic algorithm to provide an objective determination ... parameterspace made possible by geneticalgorithmbased numerical optimization led us to a number...

GEATbx
 Referenced in 14 articles
[sw08590]
 GEATbx  The Genetic and Evolutionary Algorithm Toolbox for Matlab. The Genetic and Evolutionary Algorithm Toolbox ... your method of choice! Powerful genetic and evolutionary algorithms find solutions to your problems...

OPTIMAS
 Referenced in 15 articles
[sw07605]
 Aerodynamic Shapes). The optimization method employs genetic algorithms in combination with the reducedorder models...

JCell
 Referenced in 15 articles
[sw13353]
 framework for working mainly with cellular genetic algorithms (cGAs), but also it has implemented steady...

GAKREM
 Referenced in 8 articles
[sw02712]
 novel clustering algorithm named GAKREM (Genetic Algorithm Kmeans Logarithmic Regression Expectation Maximization) that combines ... characteristics of the Kmeans and EM algorithms but avoids their weaknesses such ... lengthy computations. To achieve these goals, genetic algorithms for estimating parameters and initializing starting points...

FortranGA
 Referenced in 6 articles
[sw05064]
 FORTRAN Genetic Algorithm (GA) Driver. Very briefly, a genetic algorithm is a search/optimization technique based ... Darwinian survival of the fittest. The genetic algorithm is a computer simulation of such evolution ... encouraged to read David Goldberg’s ”Genetic Algorithms in Search, Optimization and Machine Learning,” Addison ... Wesley, 1989. My first exposure to genetic algorithms was through Steven Levy’s book entitled...