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» A New Crossover Operator for Genetic Algorithms
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PPSN
2004
Springer
14 years 28 days ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
ICCS
2009
Springer
13 years 5 months ago
Gene Specific Co-regulation Discovery: An Improved Approach
Abstract. Discovering gene co-regulatory relationships is a new but important research problem in DNA microarray data analysis. The problem of gene specific co-regulation discovery...
Ji Zhang, Qing Liu, Kai Xu 0003
ICEC
1994
86views more  ICEC 1994»
13 years 9 months ago
A Genetic Algorithm for Channel Routing using Inter-Cluster Mutation
In this paper, we propose an algorithm for the channel routing problem based on genetic approach that uses a new type of mutation, called inter-cluster mutation . The performance ...
B. B. Prahlada Rao, Lalit M. Patnaik, R. C. Hansda...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 8 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 5 months ago
Evolutionary Approach to Test Generation for Functional BIST
In the paper, an evolutionary approach to test generation for functional BIST is considered. The aim of the proposed scheme is to minimize the test data volume by allowing the dev...
Y. A. Skobtsov, D. E. Ivanov, V. Y. Skobtsov, Raim...