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» An evolutionary method for complex-process optimization
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141
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JCIT
2010
172views more  JCIT 2010»
14 years 7 months ago
Conditional Sensor Deployment Using Evolutionary Algorithms
Sensor deployment is a critical issue, as it affects the cost and detection capabilities of a wireless sensor network. Although many previous efforts have addressed this issue, mo...
M. Sami Soliman, Guanzheng Tan
118
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GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
15 years 1 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
86
Voted
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 5 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 4 months ago
Biobjective evolutionary and heuristic algorithms for intersection of geometric graphs
Wire routing in a VLSI chip often requires minimization of wire-length as well as the number of intersections among multiple nets. Such an optimization problem is computationally ...
Rajeev Kumar, Pramod Kumar Singh, Bhargab B. Bhatt...
102
Voted
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
15 years 6 months ago
A multiple objective evolutionary algorithm for multiple sequence alignment
The problem of multiple sequence alignment is important for bioinformatics. This problem is widely studied and a popular tool to solve this problem is Clustal X. This work introdu...
Pasut Seeluangsawat, Prabhas Chongstitvatana