| Description |
1 online resource (339 pages) |
| Contents |
Ant clustering algorithms / Yu-Chiun Chiou, Shih-Ta Chou -- Three novel methods to predict traffic time series in reconstructed state spaces / Lawrence W. Lan, Feng-Yu Lin, April Y. Kuo -- Self-evolvable protocol design using genetic algorithms / Wenbing Yao [and others] -- Facial feature tracking via evolutionary multiobjective optimization / Eric C. Larson, Gary G. Yen -- Ordered incremental multi-objective problem solving based on genetic algorithms / Wenting Mo, Sheng-Uei Guan, Sadasivan Puthusserypady -- Comparative study of evolutionary computing methods for parameter estimation of power quality signals / V. Ravikumar Pandi, B.K. Panigrahi -- A heuristic approach for multi objective distribution feeder reconfiguration: using fuzzy sets in normalization of objective functions / Armin Ebrahimi Milani, Mahmood Reza Haghifam -- A scheduling model with multi-objective optimization for computational grids using NSGA-II / Zahid Raza, Deo P. Vidyarthi -- Extrapolated biogeography-based optimization (eBBO) for global numerical optimization and microstrip patch antenna design / M.R. Lohokare [and others] -- Posterior sampling using particle swarm optimizers and model reduction techniques / J.L. Fernández Martínez [and others] -- reserve constrained multi-area economic dispatch employing evolutionary approach / Manisha Sharma, Manjaree Pandit -- Application of machine learning techniques to predict software reliability / Ramakanta Mohanty, V. Ravi, M.R. Patra -- Buffer management in cellular IP networks using evolutionary algorithms / Mohammad Anbar, Deo P. Vidyarthi -- Using evolution strategies to perform stellar population synthesis for galaxy spectra from SDSS / Juan Carlos Gomez, Olac Fuentes -- A novel puzzle based compaction (PBC) strategy for enhancing the utilization of reconfigurable resources / Ahmed I. Saleh -- A comparative study of metaheuristic methods for transmission network expansion plannin / Ashu R. Verma, P.K. Bijwe, B. Panigrahi |
| Summary |
"This book provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution"--Provided by publisher |
| Analysis |
Evolutionary algorithms and programming |
|
Fuzzy computing |
|
Genetic algorithms |
|
Grid computing |
|
Hybrid methods |
|
Interactive computational models |
|
Metaheuristics |
|
Natural computing |
|
Neural computing |
|
Particle swarm optimization |
| Bibliography |
Includes bibliographical references |
| Notes |
Title screen (IGI Global, viewed May 8, 2012) |
| Subject |
Evolutionary computation.
|
|
Evolutionary computation
|
| Form |
Electronic book
|
| Author |
Hong, Wei-Chiang Samuelson, 1972-
|
|
IGI Global.
|
| ISBN |
9781466617506 |
|
1466617500 |
|
