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GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
16 years 2 days ago
A hybrid evolutionary algorithm for the p-median problem
A hybrid evolutionary algorithm (EA) for the p-median problem consist of two stages, each of which is a steady-state hybrid EA. These EAs encode selections of medians as subsets o...
István Borgulya
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
16 years 2 days ago
Three dimensional evolutionary aerodynamic design optimization with CMA-ES
In this paper, we present the application of evolutionary optimization methods to a demanding, industrially relevant engineering domain, the three-dimensional optimization of gas ...
Martina Hasenjäger, Bernhard Sendhoff, Toyota...
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
16 years 2 days ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
GECCO
2005
Springer
16 years 2 days ago
A new approach to evaluate GP schema in context
Evaluating GP schema in context is considered to be a complex, and, at times impossible, task. The tightly linked nodes of a GP tree is the main reason behind its complexity. This...
Hammad Majeed
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
16 years 2 days ago
Minimum spanning trees made easier via multi-objective optimization
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Frank Neumann, Ingo Wegener