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» Critical control of a genetic algorithm
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GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
13 years 11 months ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for geneti...
Gregor Papa
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 5 months ago
Crossover operators for multiobjective k-subset selection
Genetic algorithms are often applied to combinatorial optimization problems, the most popular one probably being the traveling salesperson problem. In contrast to permutations use...
Thorsten Meinl, Michael R. Berthold
APNOMS
2006
Springer
14 years 2 months ago
The Soft Bound Admission Control Algorithm for Vertical Handover in Ubiquitous Environment
Abstract. In this paper, we present SBAC (Soft Bound Admission Control) algorithm considering critical bandwidth ratio to reduce handover blocking probability over WLAN and WAAN (W...
Ok Sik Yang, Jong Min Lee, Jun Kyun Choi, Seong Go...
MI
1993
14 years 1 days ago
Controlling a steel mill with BOXES
We describe an application of the BOXES learning algorithm of Michie and Chambers (1968) to a large-scale, real-world problem, namely, learning to control a steel mill. By applyin...
Michael McGarity, Claude Sammut, David P. Clements
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 4 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon