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ENGL
2006
170views more  ENGL 2006»
14 years 11 months ago
Hybrid Genetic Algorithms: A Review
Hybrid genetic algorithms have received significant interest in recent years and are being increasingly used to solve real-world problems. A genetic algorithm is able to incorporat...
Tarek A. El-Mihoub, Adrian A. Hopgood, Lars Nolle,...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 24 days ago
Solving constrained multi-objective problems by objective space analysis
In this paper a new approach to solve constrained multi-objective problems by way of evolutionary multi-objective optimization is introduced. In contrast to former evolutionary ap...
Gideon Avigad, Carlos A. Coello Coello
PPSN
2004
Springer
15 years 5 months ago
A Hybrid GRASP - Evolutionary Algorithm Approach to Golomb Ruler Search
We consider the problem of finding small Golomb rulers, a hard combinatorial optimization task. This problem is here tackled by means of a hybrid evolutionary algorithm (EA). This...
Carlos Cotta, Antonio J. Fernández
IC3
2010
14 years 12 months ago
LACAIS: Learning Automata Based Cooperative Artificial Immune System for Function Optimization
Artificial Immune System (AIS) is taken into account from evolutionary algorithms that have been inspired from defensive mechanism of complex natural immune system. For using this ...
Alireza Rezvanian, Mohammad Reza Meybodi
IPPS
2007
IEEE
15 years 6 months ago
A Grid-enabled Branch and Bound Algorithm for Solving Challenging Combinatorial Optimization Problems
Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
Mohand-Said Mezmaz, Nouredine Melab, El-Ghazali Ta...