Optimization methods & software · 2014 · 131 citations · 15 references
ComputingComputer ScienceAlgorithmsParallel ComputingPopulation GeneticsData ParallelismEvolutionary ComputationEvolutionary OptimizationGenetic AlgorithmsObject-oriented ProgrammingApplication Programming Interface (Api)Evolutionary SearchObject-oriented ArchitectureParallel Evolutionary AlgorithmsParallel Evolutionary ComputationPopulation-based Optimization
Abstract. In this paper, we describe brkgaAPI, an efficient and easy-to-use object oriented application programming interface for the algorithmic framework of biased random-key genetic algorithms. Our cross-platform library automatically handles the large portion of problem-independent modules that are part of the framework, including population management and evolutionary dynamics, leaving to the user the task of implementing a problem-dependent procedure to convert a vector of random keys into a solution to the underlying optimization problem. Our implementation is written in the C++ programming language and may benefit from shared-memory parallelism when available. 1.
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Makoto Matsumoto, Takuji Nishimura · ACM Transactions on Modeling and Computer Simulation · 1998 · 5.7K citations
Evolution strategies – A comprehensive introduction
Hans-Georg Beyer, Hans–Paul Schwefel · Natural Computing · 2002 · 2.8K citations