![Applied mathematics / Swarm behaviour / Particle swarm optimization / Fitness landscape / Evolutionary computation / CMA-ES / Evolution strategy / Multi-swarm optimization / Swarm intelligence / Evolutionary algorithms / Mathematical optimization / Numerical analysis Applied mathematics / Swarm behaviour / Particle swarm optimization / Fitness landscape / Evolutionary computation / CMA-ES / Evolution strategy / Multi-swarm optimization / Swarm intelligence / Evolutionary algorithms / Mathematical optimization / Numerical analysis](https://www.pdfsearch.io/img/95126cc29cbef775107b86c0cf1c8e76.jpg)
| Document Date: 2006-06-28 06:45:49 Open Document File Size: 3,46 MBShare Result on Facebook
Facility University of Essex / / IndustryTerm search parameters / extended particle swarm systems / random search / unknown ways optimisation algorithms / hyper-heuristic algorithms / mutation algorithm / search proceeds / co-evolutionary systems / continuous optimisation algorithms / industrial strength algorithms / search performances / search problem / search points / swarm best solution / optimisation algorithm / evolutionary algorithms / real world optimisation algorithms / search heuristics / swarm best solutions / search algorithms / / OperatingSystem PSOs / / Organization Congress / Search Algorithms W. B. Langdon and Riccardo Poli Department of Computer Science / University of Essex / / Person Nikolaus Hansen / / Position hill climber / intelligent hill-climber / / ProgrammingLanguage Java / / ProvinceOrState Delaware / / Technology optimisation algorithm / continuous optimisation algorithms / previously unknown ways optimisation algorithms / optimisation algorithms / Java / three search algorithms / industrial strength algorithms / hyper-heuristic algorithms / PSOs / mutation algorithm / evolutionary algorithms / /
SocialTag |