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CEC
2007
IEEE
14 years 2 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...
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
14 years 8 days ago
Instance similarity and the effectiveness of case injection in a genetic algorithm for binary quadratic programming
When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...
Jason Amunrud, Bryant A. Julstrom
FUZZY
1997
Springer
166views Fuzzy Logic» more  FUZZY 1997»
14 years 23 days ago
Optimizing Video Signal Processing Algorithms by Evolution Strategies
Today many kinds of postprocessing are used in digital TV receivers or multimedia terminals for video signals to enhance the picture quality. To achieve this the properties of hum...
H. Blume, O. Franzen, M. Schmidt
IDA
2008
Springer
13 years 8 months ago
A comprehensive analysis of hyper-heuristics
Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been successfully applied to many difficult optimization problems for which no satisfactory pro...
Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
14 years 2 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most po...
TeongJoo Ong, Ryan Saunders, John Keyser, John J. ...