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Theory and Principled Methods for the Design of Metaheuristics 2014

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Yossi Borenstein, Alberto Moraglio:
Theory and Principled Methods for the Design of Metaheuristics. Natural Computing Series, Springer 2014, ISBN 978-3-642-33205-0
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  - series/ncs/Igel14
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Christian Igel:
No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics. 1-23
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  - series/ncs/TeytaudT14
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Fabien Teytaud, Olivier Teytaud:
Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms. 25-39
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Konstantin Klemm, Peter F. Stadler:
Rugged and Elementary Landscapes. 41-61
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L. Darrell Whitley, Jonathan E. Rowe:
Single-Funnel and Multi-funnel Landscapes and Subthreshold-Seeking Behavior. 63-84
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Thomas Jansen:
Black-Box Complexity for Bounding the Performance of Randomized Search Heuristics. 85-110
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  - series/ncs/TeytaudV14
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Olivier Teytaud, Emmanuel Vázquez:
Designing an Optimal Search Algorithm with Respect to Prior Information. 111-128
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  - series/ncs/Toussaint14
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Marc Toussaint:
The Bayesian Search Game. 129-144
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Nikolaus Hansen, Anne Auger:
Principled Design of Continuous Stochastic Search: From Theory to Practice. 145-180
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Riccardo Poli, Nicholas Freitag McPhee:
Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP. 181-204
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Thomas Bartz-Beielstein, Mike Preuss:
Experimental Analysis of Optimization Algorithms: Tuning and Beyond. 205-245
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  - series/ncs/SurryR14
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Patrick D. Surry, Nicholas J. Radcliffe:
Formal Search Algorithms + Problem Characterisations = Executable Search Strategies. 247-270

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