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PATAT
2004
Springer
141views Education» more  PATAT 2004»
13 years 10 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 6 months ago
Single-objective front optimization: application to rf circuit design
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
Eduardo José Solteiro Pires, Luís Me...
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
13 years 10 months ago
Parallel genetic algorithms on line topology of heterogeneous computing resources
This paper evaluates a parallel genetic algorithm (GA) on the line topology of heterogeneous computing resources. Evolution process of parallel GAs is investigated on two types of...
Yiyuan Gong, Morikazu Nakamura, Shiro Tamaki
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
TREC
2003
13 years 6 months ago
Ranking Function Discovery by Genetic Programming for Robust Retrieval
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...