Recent Advances in Memetic Algorithms: 166 (Studies in Fuzziness and Soft Computing) - Tapa blanda

Sinopsis

to Memetic Algorithms.- Memetic Evolutionary Algorithms.- Applications of Memetic Algorithms.- An Evolutionary Approach for the Maximum Diversity Problem.- Multimeme Algorithms Using Fuzzy Logic Based Memes For Protein Structure Prediction.- A Memetic Algorithm Solving the VRP, the CARP and General Routing Problems with Nodes, Edges and Arcs.- Using Memetic Algorithms for Optimal Calibration of Automotive Internal Combustion Engines.- The Co-Evolution of Memetic Algorithms for Protein Structure Prediction.- Hybrid Evolutionary Approaches to Terminal Assignment in Communications Networks.- Effective Exploration & Exploitation of the Solution Space via Memetic Algorithms for the Circuit Partition Problem.- Methodological Aspects of Memetic Algorithms.- Towards Robust Memetic Algorithms.- NK-Fitness Landscapes and Memetic Algorithms with Greedy Operators and k-opt Local Search.- Self-Assembling of Local Searchers in Memetic Algorithms.- Designing Efficient Genetic and Evolutionary Algorithm Hybrids.- The Design of Memetic Algorithms for Scheduling and Timetabling Problems.- Memetic Algorithms for Multiobjective Optimization: Issues, Methods and Prospects.- Related Search Technologies.- A Memetic Learning Classifier System for Describing Continuous-Valued Problem Spaces.- Angels & Mortals: A New Combinatorial Optimization Algorithm.

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