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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 3 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
CEC
2007
IEEE
15 years 3 months ago
Continuous dynamic problem generators for evolutionary algorithms
— Addressing dynamic optimization problems has attracted a growing interest from the evolutionary algorithm community in recent years due to its importance in the applications of...
Renato Tinós, Shengxiang Yang
74
Voted
IPPS
2006
IEEE
15 years 3 months ago
Parallel implementation of evolutionary strategies on heterogeneous clusters with load balancing
This paper presents a load balancing algorithm for a parallel implementation of an evolutionary strategy on heterogeneous clusters. Evolutionary strategies can efficiency solve a ...
Juan Francisco Garamendi, José Luis Bosque
HPDC
1995
IEEE
15 years 1 months ago
Loop Scheduling for Heterogeneity
In this paper, we study the problem of scheduling parallel loops at compile-time for a heterogeneous network of machines. We consider heterogeneity in three aspects of parallel pr...
Michal Cierniak, Wei Li, Mohammed Javeed Zaki
PPSN
2004
Springer
15 years 2 months ago
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these...
Andrei Petrovski, Bhavani Sudha, John A. W. McCall