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PPSN
2004
Springer
15 years 3 months ago
Hierarchical Genetic Algorithms
Current Genetic Algorithms can efficiently address order-k separable problems, in which the order of the linkage is restricted to a low value k. Outside this class, there exist hie...
Edwin D. de Jong, Dirk Thierens, Richard A. Watson
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 4 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
KES
1999
Springer
15 years 2 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
EUROPAR
2009
Springer
15 years 2 months ago
A New Genetic Algorithm for Scheduling for Large Communication Delays
Abstract. In modern parallel and distributed systems, the time for exchanging data is usually larger than that for computing elementary operations. Consequently, these communicatio...
Johnatan E. Pecero, Denis Trystram, Albert Y. Zoma...
PPSN
2004
Springer
15 years 3 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