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AEI
2005
99views more  AEI 2005»
15 years 4 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
WSC
2007
15 years 7 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
GECCO
2010
Springer
188views Optimization» more  GECCO 2010»
15 years 8 months ago
Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
Thanh-Do Tran, Gang-Gyoo Jin
CGO
2006
IEEE
15 years 11 months ago
A Self-Repairing Prefetcher in an Event-Driven Dynamic Optimization Framework
Software prefetching has been demonstrated as a powerful technique to tolerate long load latencies. However, to be effective, prefetching must target the most critical (frequently...
Weifeng Zhang, Brad Calder, Dean M. Tullsen
135
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GECCO
2003
Springer
15 years 10 months ago
Optimization Using Particle Swarms with Near Neighbor Interactions
This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to combat the problem of premature convergence observed in many applications of PSO. ...
Kalyan Veeramachaneni, Thanmaya Peram, Chilukuri K...