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156
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PATAT
2004
Springer
141views Education» more  PATAT 2004»
15 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...
CEC
2008
IEEE
15 years 7 months ago
Investigation of simply coded evolutionary artificial neural networks on robot control problems
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
Yoshiaki Katada, Jun Nakazawa
124
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ICEC
1994
82views more  ICEC 1994»
15 years 6 months ago
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search
Combinatorial optimization problems require computing efforts which grow at least exponentially with the problem dimension. Therefore, the use of the remarkable power of massively...
Ivan De Falco, Renato Del Balio, Ernesto Tarantino...
KDD
2012
ACM
186views Data Mining» more  KDD 2012»
13 years 7 months ago
Maximum inner-product search using cone trees
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
Parikshit Ram, Alexander G. Gray
CEC
2010
IEEE
15 years 1 months ago
Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems
Several constraint handling techniques have been proposed to be used with the evolutionary algorithms (EAs). According to the no free lunch theorem, it is impossible for a single c...
Rammohan Mallipeddi, Ponnuthurai Nagaratnam Sugant...