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CEC
2007
IEEE
13 years 11 months ago
A cost benefit operator for efficient multi level genetic algorithm searches
— In this paper we present a novel cost benefit operator that assists multi level genetic algorithm searches. Through the use of the cost benefit operator, it is possible to dyna...
George G. Mitchell, Barry McMullin, James Decraene
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...
LCTRTS
2010
Springer
13 years 2 months ago
Improving both the performance benefits and speed of optimization phase sequence searches
The issues of compiler optimization phase ordering and selection present important challenges to compiler developers in several domains, and in particular to the speed, code size,...
Prasad A. Kulkarni, Michael R. Jantz, David B. Wha...
GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
13 years 9 months ago
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
Stephen Y. Chen, Stephen F. Smith
JCM
2007
129views more  JCM 2007»
13 years 4 months ago
Evolutionary Approach for Efficient Resource Allocation in Multi-User OFDM Systems
– Orthogonal Frequency Division Multiplexing is a promising technology for high data rate transmission in wideband wireless systems for achieving high downlink capabilities in th...
Yenumula B. Reddy, Nandigam Gajendar