
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 ... from Fortran or C. Runs on uniprocessors, parallel computers, and workstation networks. Binary, integer...

HeuristicLab
 Referenced in 11 articles
[sw07053]
 scheduling problems, route planning, etc., also these algorithms still suffer from a very long running ... applications. Consequently, parallel optimization methods like parallel genetic algorithms are widely used to overcome this ... authors present a new environment for parallel heuristic optimization based upon the already proposed HeuristicLab...

PIKAIA
 Referenced in 10 articles
[sw04744]
 Stellar structure modeling using a parallel genetic algorithm for objective global optimization Genetic algorithms ... computational setting. We have designed a fully parallel and distributed hardware/software implementation of the generalized ... optimization subroutine PIKAIA, which utilizes a genetic algorithm to provide an objective determination ... efficient, parallel exploration of parameterspace made possible by geneticalgorithmbased numerical optimization...

GA
 Referenced in 16 articles
[sw11611]
 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 ... genetic operators and easily evaluate their performances. GAs can be run sequentially or in parallel...

rgenoud
 Referenced in 25 articles
[sw08657]
 genetic algorithm plus derivative optimizer. Genoud is a function that combines evolutionary search algorithms with ... multiple computers, CPUs or cores to perform parallel computations...

PDoublePop
 Referenced in 1 article
[sw22207]
 PDoublePop: an implementation of parallel genetic algorithm for function optimization. A software for the implementation ... parallel genetic algorithms is presented in this article. The underlying genetic algorithm is aimed ... implements a clientserver model for parallel genetic algorithms with advanced features for the local...

AGAPE
 Referenced in 1 article
[sw01441]
 AGAPE: Parallel genetic algorithm programming environment developed for APE100/Quadratics. A software environment for the APE100/Quadratics ... topology. A comparison among different evolutionary algorithms to learn neural networks is also reported ... overview of the current state of parallel genetic algorithms and evolutionary algorithms for optimization...

OPTIMAS
 Referenced in 17 articles
[sw07605]
 constrained optimization of aerodynamic shapes Massive parallelization is a crucial element of any successful optimization ... Aerodynamic Shapes). The optimization method employs genetic algorithms in combination with the reducedorder models ... Stokes computations. The algorithm is built upon a multilevel embedded parallelization strategy, which efficiently makes...

Glmulti
 Referenced in 9 articles
[sw10544]
 facilitating parallelization and providing, in addition to exhaustive screening, a compiled genetic algorithm method. This...

EASEA
 Referenced in 13 articles
[sw07058]
 EASEA (EAsy Specification of Evolutionary Algorithms) is an Artificial Evolution platform that allows scientists with ... computer science to exploit the massive parallelism of manycore architectures in order to optimize ... continous, discrete, combinatorial, mixed and more (with Genetic Programming)), typically allowing for speedups...

ABySS
 Referenced in 8 articles
[sw17343]
 read sequence data. Widespread adoption of massively parallel deoxyribonucleic acid (DNA) sequencing instruments has prompted ... development of de novo short read assembly algorithms. A common shortcoming of the available tools ... genetic variation. To address this limitation, we developed ABySS (Assembly By Short Sequences), a parallelized...

ZENTURIO
 Referenced in 3 articles
[sw02487]
 solving NPcomplete optimisation problems for parallel and grid applications. We present a case study ... computational tasks on the Grid using genetic algorithms. Our algorithm has a complexity...

Neurofitter
 Referenced in 10 articles
[sw09289]
 parallel increase in computer power allows scientists to automate this tuning. Optimization algorithms need ... possible. The second component is a search algorithm that explores the parameter space to find ... several popular search algorithms, including bruteforce methods, simulated annealing, genetic algorithms, evolution strategies, differential...

SOFT
 Referenced in 5 articles
[sw03485]
 follows Simulation: We use a parallel CFD algorithm to run a direct simulation ... blade section with a genetic algorithm and/or a surface response. The evaluation of the objective ... network of computers using an embarrassingly parallel algorithm. Fabrication: The optimization procedure results...

NGPM
 Referenced in 2 articles
[sw25334]
 implementation of nondominated sorting genetic algorithm II (NSGAII) proposed by K. Deb. Capabilities ... crossover, Gaussian mutation. 4. Constraint handling. 5. Parallel computation of objective function evaluation. 6. Population...

RMOP
 Referenced in 1 article
[sw08546]
 shock control bump design optimisation using hybrid parallel MOGA The paper investigates a robust optimisation ... aerofoil using a MultiObjective Evolutionary Algorithm (MOEA) coupled to Computational Fluid Dynamics (CFDs) software ... method is a ParetoGame based Genetic Algorithm in RMOP (denoted as RMOGA). The second ... Hybridised RMOGA with GameStrategies and a parallel computation for high performance computation. Numerical results...

eaLib
 Referenced in 2 articles
[sw29835]
 provided genetic operators are introduced. Thereafter the concept of breaking up an evolutionary algorithm into ... algorithms is presented. The paper concludes with a section dealing with issues of parallelization...

MHGrid
 Referenced in 1 article
[sw13744]
 Parallel GEAS with linkage analysis over grid. This chapter describes the latest trends ... effect of these trends over Genetic and Evolutionary Algorithms (GEAs) especially linkage based GEAs...

GARLI
 Referenced in 1 article
[sw29598]
 GARLI: genetic algorithm for rapid likelihood inference. GARLI performs heuristic phylogenetic searches under the General ... from PAUP, however. GARLI also implements a parallel MPI based algorithm for use on parallel...

JDeal
 Referenced in 1 article
[sw07052]
 algorithms (genetic algorithms, evolutionary strategies, ...); easy integration of specific operators, chromosomes and algorithms; reuse ... design and architecture; extensive documentation; distributed and parallel implementations of the algorithms; source code available...