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» An evolutionary method for complex-process optimization
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CORR
2010
Springer
102views Education» more  CORR 2010»
14 years 7 months ago
Superior Exploration-Exploitation Balance with Quantum-Inspired Hadamard Walks
This paper extends the analogies employed in the development of quantum-inspired evolutionary algorithms by proposing quantum-inspired Hadamard walks, called QHW. A novel quantum-...
Sisir Koppaka, Ashish Ranjan Hota
128
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COR
2011
14 years 7 months ago
An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows
The Vehicle Routing Problem with Time Windows is a complex combinatorial problem with many real-world applications in transportation and distribution logistics. Its main objective...
Abel Garcia-Najera, John A. Bullinaria
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 6 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
114
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GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
14 years 10 months ago
Improved analysis methods for crossover-based algorithms
We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the ...
Benjamin Doerr, Madeleine Theile
96
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TEC
2008
98views more  TEC 2008»
15 years 11 days ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...