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
Forking Genetic Algorithm with Blocking and Shrinking Modes (fGA)
Proceedings of the 5th International Conference on Genetic Algorithms
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
Evolutionary Computing on Consumer Graphics Hardware
IEEE Intelligent Systems
Fast Genetic Programming and Artificial Developmental Systems on GPUs
HPCS '07 Proceedings of the 21st International Symposium on High Performance Computing Systems and Applications
A data parallel approach to genetic programming using programmable graphics hardware
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Massively parallel simulated annealing and its relation to evolutionary algorithms
Evolutionary Computation
Gpu gems 3
Evolutionary computing in manufacturing industry: an overview of recent applications
Applied Soft Computing
A SIMD interpreter for genetic programming on GPU graphics cards
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Parallel genetic algorithms on programmable graphics hardware
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Gradual distributed real-coded genetic algorithms
IEEE Transactions on Evolutionary Computation
Finding pre-images via evolution strategies
Applied Soft Computing
Differential evolution for parameterized procedural woody plant models reconstruction
Applied Soft Computing
Cloud scale distributed evolutionary strategies for high dimensional problems
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
A parallel hybrid optimization algorithm for fitting interatomic potentials
Applied Soft Computing
| Hi-index | 0.00 |
This paper presents a massively parallel Evolution Strategy-Pattern Search Optimization (ES-PS) algorithm with graphics hardware acceleration on bound constrained nonlinear continuous optimization problems. The algorithm was specifically designed for a graphic processing unit (GPU) hardware platform featuring 'Single Instruction Multiple Thread' (SIMT). Evolution Strategy is a population-based evolutionary algorithm for solving complex optimization problems. GPU computing is an emerging desktop parallel computing platform. The hybrid ES-PS optimization method was implemented in the GPU environment and compared to a similar implementation on Central Processing Units (CPU). Computational results indicated that GPU-accelerated SIMT-ES-PS method was orders of magnitude faster than the corresponding CPU implementation. The main contribution of this paper was the parallelization analysis and performance analysis of the hybrid ES-PS with GPU acceleration. The computational results demonstrated a promising direction for high speed optimization with desktop parallel computing on a personal computer (PC).