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Recent Advances in Memetic Algorithms Book

Recent Advances in Memetic Algorithms
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  • Recent Advances in Memetic Algorithms
  • Written by author William E. Hart
  • Published by Springer-Verlag New York, LLC, September 2007
  • Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world proble
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Authors

Memetic evolutionary algorithms3
An evolutionary approach for the maximum diversity problem31
Multimeme algorithms using fuzzy logic based memes for protein structure prediction49
A memetic algorithm solving the VRP, the CARP and general routing problems with nodes, edges and arcs65
Using memetic algorithms for optimal calibration of automotive internal combustion engines87
The co-evolution of memetic algorithms for protein structure prediction105
Hybrid evolutionary approaches to terminal assignment in communications networks129
Effective exploration & exploitation of the solution space via memetic algorithms for the circuit partition problem161
Towards robust memetic algorithms185
NK-fitness landscapes and memetic algorithms with greedy operators and k-opt local search209
Self-assembling of local searchers in memetic algorithms229
Designing efficient genetic and evolutionary algorithm hybrids259
The design of memetic algorithms for scheduling and timetabling problems289
Memetic algorithms for multiobjective optimization : issues, methods and prospects313
A memetic learning classifier system for describing continuous-valued problem spaces355
Angels & mortals : a new combinatorial optimization algorithm397


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