Optimization Via Evolutionary Processes

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InCollection{Raman1997155,

• author = "Srilata Raman and L. M. Patnaik",
• title = "Optimization Via Evolutionary Processes",
• editor = "Marvin V. Zelkowitz",
• booktitle = "Emphasizing Parallel Programming Techniques",
• publisher = "Elsevier",
• year = "1997",
• volume = "45",
• pages = "155--196",
• series = "Advances in Computers",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "0065-2458",
• ISBN = "0-12-012145-X",
• DOI = "doi:10.1016/S0065-2458(08)60708-1",
• URL = "http://www.sciencedirect.com/science/article/B7RNF-4SG68V6-8/2/8407d494bdc0acf7f4ebfa9e28b302e2",
• URL = "http://www.amazon.com/s/ref=nb_sb_noss?url=search-alias%3Dstripbooks&field-keywords=Emphasizing+Parallel+Programming+Techniques&x=0&y=0",
• abstract = "Evolutionary processes have attracted considerable interest in recent years for solving a variety of optimization problems. This article presents a synthesizing overview of the underlying concepts behind evolutionary algorithms, a brief review of genetic algorithms, and motivation for hybridizing genetic algorithms with other methods. Operating concepts governing evolutionary strategies and differences between such strategies and genetic algorithms are highlighted. Genetic programming techniques and their application are discussed briefly. To demonstrate the applicability of these principles, representative examples are drawn from different disciplines.",

}

Genetic Programming entries for Srilata Raman L M Patnaik

Citations