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115
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GECCO
2006
Springer
265views Optimization» more  GECCO 2006»
15 years 8 months ago
Cutting stock waste reduction using genetic algorithms
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...
Yaser M. A. Khalifa, O. Salem, A. Shahin
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 8 months ago
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes
Positioning multiple sensors for acquisition of a a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision and ro...
Haluk Topcuoglu, Murat Ermis
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 5 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
CEC
2007
IEEE
15 years 11 months ago
Modified genetic algorithm for job-shop scheduling: A gap utilization technique
—The Job-Shop Scheduling Problem (JSSP) is one of the most critical combinatorial optimization problems. The objective of JSSP in this research is to minimize the makespan. In th...
S. M. Kamrul Hasan, Ruhul A. Sarker, David Cornfor...
136
Voted
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 5 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