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By Youssef Hamadi, Eric Monfroy, Frédéric Saubion (auth.), Youssef Hamadi, Eric Monfroy, Frédéric Saubion (eds.)
Decades of techniques in combinatorial challenge fixing have produced higher and extra complicated algorithms. those new tools are greater seeing that they could clear up better difficulties and deal with new program domain names. also they are extra complicated because of this they're tough to breed and infrequently more durable to fine-tune to the peculiarities of a given challenge. This final element has created a paradox the place effective instruments are out of achieve of practitioners.
Autonomous seek (AS) represents a brand new learn box outlined to exactly handle the above problem. Its significant energy and originality consist within the undeniable fact that challenge solvers can now practice self-improvement operations in keeping with research of the performances of the fixing approach -- together with momentary reactive reconfiguration and long term development via self-analysis of the functionality, offline tuning and on-line keep watch over, and adaptive keep an eye on and supervised keep an eye on. independent seek "crosses the chasm" and offers engineers and practitioners with platforms which are in a position to autonomously self-tune their functionality whereas successfully fixing difficulties.
This is the 1st booklet devoted to this subject, and it may be used as a reference for researchers, engineers, and postgraduates within the parts of constraint programming, computing device studying, evolutionary computing, and suggestions regulate thought. After the editors' creation to self sustaining seek, the chapters are inquisitive about tuning set of rules parameters, self sufficient whole (tree-based) constraint solvers, self reliant keep watch over in metaheuristics and heuristics, and destiny self sufficient fixing paradigms.
Autonomous seek (AS) represents a brand new study box outlined to exactly tackle the above problem. Its significant power and originality consist within the undeniable fact that challenge solvers can now practice self-improvement operations in keeping with research of the performances of the fixing strategy -- together with temporary reactive reconfiguration and long term development via self-analysis of the functionality, offline tuning and on-line keep watch over, and adaptive regulate and supervised keep an eye on. self sufficient seek "crosses the chasm" and offers engineers and practitioners with platforms which are in a position to autonomously self-tune their functionality whereas successfully fixing difficulties.
This is the 1st publication devoted to this subject, and it may be used as a reference for researchers, engineers, and postgraduates within the parts of constraint programming, computer studying, evolutionary computing, and suggestions keep watch over conception. After the editors' creation to self sustaining seek, the chapters are enthusiastic about tuning set of rules parameters, independent entire (tree-based) constraint solvers, self sufficient keep watch over in metaheuristics and heuristics, and destiny independent fixing paradigms.
This is the 1st booklet devoted to this subject, and it may be used as a reference for researchers, engineers, and postgraduates within the components of constraint programming, laptop studying, evolutionary computing, and suggestions keep an eye on concept. After the editors' creation to self sufficient seek, the chapters are taken with tuning set of rules parameters, self sufficient whole (tree-based) constraint solvers, self sufficient regulate in metaheuristics and heuristics, and destiny self sufficient fixing paradigms.
This is the 1st ebook devoted to this subject, and it may be used as a reference for researchers, engineers, and postgraduates within the components of constraint programming, computing device studying, evolutionary computing, and suggestions regulate thought. After the editors' advent to independent seek, the chapters are considering tuning set of rules parameters, independent entire (tree-based) constraint solvers, self sustaining keep watch over in metaheuristics and heuristics, and destiny self sufficient fixing paradigms.
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Extra resources for Autonomous Search
Sample text
North-Holland, Amsterdam (1992) [21] Lasarczyk, C. W. : Genetische programmierung einer algorithmischen chemie. D. : The racing algorithm: model selection for lazy learners. : Autonomous operator management for evolutionary algorithms. Journal of Heuristics 16, 881–909 (2010) [24] Mercer, R. , and Sampson, J. : Adaptive search using a reproductive metaplan. , and Hancock, E. : Empirical modelling of genetic algorithms. : Evolutionary agent-based policy analysis in Ddnamic Environments. D. , and Eiben, A.
Optimal computing budget allocation of indifference-zone-selection procedures. : Investigations in metaGAs: Panaceas or pipe dreams? , 235–241, ACM (2005) [14] Eiben, A. : Parameter control in evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 3(2):124–141 (1999) [15] Eiben, A. : A critical note on experimental research methodology in EC. , 582–587. IEEE Press, Piscataway, NJ (2002) 2 Evolutionary Algorithm Parameters and Methods to Tune Them 35 [16] Eiben, A. , and Smith, J.
Using this utility information, the meta-EA can perform selection, recombination, and mutation of parameter vectors in the usual way. As early as 1978, Mercer and Sampson [24] elaborated on this idea by their meta-GA (called meta-plan), but due to the large computational costs, their research was very limited. Greffenstette [18] was the first to conduct more extensive experiments with meta-EAs and showed the effectiveness of the approach. The use of meta-ES has been reported by Greffenstette [18] and Herdy [20] with mixed results.