Engineering Evolutionary Intelligent SystemsAjith Abraham, Crina Grosan, Witold Pedrycz Springer Science & Business Media, 2008. gada 3. janv. - 444 lappuses Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume 'Engineering Evolutionary Intelligent Systems' deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business or commerce. This volume comprises of 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. |
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1.–5. rezultāts no 86.
... Problem formulation 133 2.4 Variable length genetic algorithm 134 2.5 Pseudo global optima 135 3 The RPHS training algorithm . 137 3.1 Hybrid recursive training 137 3.2 Testing . 139 4 Summary of the RPHS algorithm . 139 5 The two ...
... Problem 353 353 356 359 359 .360 ..361 .362 . 362 364 .366 369 369 373 373 374 Enrique Alba and Bernabé Dorronsoro 379 1 Introduction 379 2 The Vehicle Routing Problem 382 3 The Proposed Algorithm . .383 3.1 Problem Representation .385 ...
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Engineering Evolutionary Intelligent Systems Ajith Abraham,Crina Grosan,Witold Pedrycz Ierobežota priekšskatīšana - 2008 |
Engineering Evolutionary Intelligent Systems Ajith Abraham,Crina Grosan,Witold Pedrycz Priekšskatījums nav pieejams - 2010 |