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GECCO
2008
Springer
108views Optimization» more  GECCO 2008»
13 years 11 months ago
Search space reduction technique for constrained optimization with tiny feasible space
The hurdles in solving Constrained Optimization Problems (COP) arise from the challenge of searching a huge variable space in order to locate feasible points with acceptable solut...
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David ...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 11 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 11 months ago
Multi-resistant radar jamming using genetic algorithms
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such ...
Hans Jonas Fossum Moen, Stein Kristoffersen
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 11 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 11 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder