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CEC
2010
IEEE
13 years 6 months ago
A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers
— This work investigates the effects of the periodization of local and global multi-objective search algorithms. To this, we introduce a model for periodization and define a new...
Paul Kaufmann, Tobias Knieper, Marco Platzner
EVOW
2009
Springer
14 years 2 months ago
A Critical Element-Guided Perturbation Strategy for Iterated Local Search
In this paper, we study the perturbation operator of Iterated Local Search. To guide more efficiently the search to move towards new promising regions of the search space, we intro...
Zhipeng Lü, Jin-Kao Hao
IANDC
1998
72views more  IANDC 1998»
13 years 7 months ago
On the Modelling of Search in Theorem Proving - Towards a Theory of Strategy Analysis
We present a model for representing search in theorem proving. This model captures the notion of contraction, which has been central in some of the recent developments in theorem ...
Maria Paola Bonacina, Jieh Hsiang
AE
2003
Springer
14 years 26 days ago
A Clustering Based Niching EA for Multimodal Search Spaces
Abstract. We propose a new niching method for Evolutionary Algorithms which is able to identify and track global and local optima in a multimodal search space. To prevent the loss ...
Felix Streichert, Gunnar Stein, Holger Ulmer, Andr...
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 8 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...