Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
On the Convergence of Pattern Search Algorithms
SIAM Journal on Optimization
Analysis of Generalized Pattern Searches
SIAM Journal on Optimization
Global Optimization by Means of Distributed Evolution Strategies
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization
SIAM Journal on Optimization
Massively parallel simulated annealing and its relation to evolutionary algorithms
Evolutionary Computation
Gpu gems 3
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
The continuous differential ant-stigmergy algorithm for numerical optimization
Computational Optimization and Applications
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This paper presents a massively parallel Evolution Strategy - Pattern Search Optimization (ES-PS) algorithm with graphics hardware acceleration on bound constrained nonlinear continuous optimization functions. The algorithm is specifically designed for a graphic processing unit (GPU) hardware platform featuring 'Single Instruction - Multiple Thread' (SIMT). GPU computing is an emerging desktop parallel computing platform. The hybrid ES-PS optimization method is implemented in the GPU environment and compared to a similar implementation on CPU hardware. Computational results indicate that GPU-accelerated SIMT-ES-PS method is orders of magnitude faster than the corresponding CPU implementation. The main contribution of this paper is the parallelization analysis and performance analysis of the hybrid ES-PS with GPU acceleration.