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FGCS
2006
82views more  FGCS 2006»
13 years 5 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
CEC
2005
IEEE
13 years 11 months ago
Statistical optimisation and tuning of GA factors
This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is...
Andrei Petrovski, Alexander E. I. Brownlee, John A...
GECCO
1999
Springer
115views Optimization» more  GECCO 1999»
13 years 10 months ago
A Diversity Study in Genetic Algorithms for Job Shop Scheduling Problems
This paper deals with the study of population diversity in Genetic Algorithms for Job Shop Scheduling Problems. A definition of population diversity at the phenotype level and a ...
Carlos A. Brizuela, Nobuo Sannomiya
EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
13 years 10 months ago
GSA: scheduling and allocation using genetic algorithm
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait
ECAI
2010
Springer
13 years 6 months ago
Nested Monte-Carlo Expression Discovery
Nested Monte-Carlo search is a general algorithm that gives good results in single player games. Genetic Programming evaluates and combines trees to discover expressions that maxim...
Tristan Cazenave