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GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
13 years 11 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
14 years 1 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
EMO
2009
Springer
140views Optimization» more  EMO 2009»
14 years 7 days ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
EMO
2006
Springer
87views Optimization» more  EMO 2006»
13 years 11 months ago
Symbolic Archive Representation for a Fast Nondominance Test
Abstract. Archives are used in Multi-Objective Evolutionary Algorithms to establish elitism. Depending on the optimization problem, an unconstrained archive may grow to an immense ...
Martin Lukasiewycz, Michael Glaß, Christian ...
EVOW
2004
Springer
14 years 1 months ago
Solving a Real-World Glass Cutting Problem
We consider the problem of finding two-dimensional cutting patterns for glass sheets in order to produce rectangular elements requested by customers. The number of needed sheets, ...
Jakob Puchinger, Günther R. Raidl, Gabriele K...