• Genocop

  • Referenced in 1009 articles [sw04707]
  • Genocop, by Zbigniew Michalewicz, is a genetic algorithm-based program for constrained and unconstrained optimization...
  • Scatter Search

  • Referenced in 260 articles [sw05291]
  • contrast to other evolutionary methods like genetic algorithms, scatter search is founded on the premise...
  • ABC

  • Referenced in 173 articles [sw10950]
  • results produced by ABC, Genetic Algorithm (GA), Particle Swarm Algorithm (PSO) and Particle Swarm Inspired...
  • GALib

  • Referenced in 61 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 95 articles [sw03235]
  • Norwich, and Toulouse. The participants developed optimization algorithms based on branch-and-cut and constraint ... variety of local search methods, genetic algorithms, neural networks, and potential reduction. These algorithms were...
  • PAES

  • Referenced in 84 articles [sw04159]
  • multiobjective evolutionary algorithms - the Niched Pareto Genetic Algorithm (NPGA) and a nondominated sorting GA (NSGA...
  • GAToolBox

  • Referenced in 62 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 27 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...
  • HAS-QAP

  • Referenced in 32 articles [sw20506]
  • robust and reactive tabu search, hybrid genetic algorithm, and a simulated annealing method. Experimental results ... that HAS-QAP and the hybrid genetic algorithm perform best on real world, irregular...
  • TTTPLOTS

  • Referenced in 42 articles [sw07712]
  • combinatorial optimization, such as simulated annealing, genetic algorithms, iterated local search, tabu search, WalkSAT...
  • MOTGA

  • Referenced in 16 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...
  • CF-GGA

  • Referenced in 16 articles [sw02592]
  • grouping genetic algorithm for the cell formation problem. In manufacturing, the machine-part cell formation ... paper presents and tests a grouping genetic algorithm (GGA) for solving the MPCF problem ... this study, CF-GGA, a grouping genetic algorithm for the cell formation problem, performs very...
  • PGAPack

  • Referenced in 16 articles [sw04922]
  • general-purpose, data-structure-neutral 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...
  • GA

  • Referenced in 12 articles [sw11611]
  • Genetic Algorithms. An R package for optimization using genetic algorithms. The package provides a flexible ... purpose set of tools for implementing genetic algorithms search in both the continuous and discrete ... depending on the problem at hand. Several genetic operators are available and can be combined...
  • GEATbx

  • Referenced in 17 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...
  • VICONOPT

  • Referenced in 19 articles [sw10341]
  • using either manual selection or a genetic algorithm. VICONOPT models are validated with ABAQUS finite...
  • BIANCA

  • Referenced in 11 articles [sw02081]
  • BIANCA: a genetic algorithm to solve hard combinatorial optimisation problems in engineering The genetic algorithm ... composite laminates is a multi-population genetic algorithm capable to deal with unconstrained and constrained ... information is extensively exploited during genetic operations. Moreover, we developed proper and original strategies...
  • rgenoud

  • Referenced in 18 articles [sw08657]
  • GENetic Optimization Using Derivatives. A genetic algorithm plus derivative optimizer. Genoud is a function that...
  • OPTIMAS

  • Referenced in 17 articles [sw07605]
  • Aerodynamic Shapes). The optimization method employs genetic algorithms in combination with the reduced-order models...
  • JCell

  • Referenced in 17 articles [sw13353]
  • framework for working mainly with cellular genetic algorithms (cGAs), but also it has implemented steady...