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» On the Brittleness of Evolutionary Algorithms
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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
16 years 18 days ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
16 years 18 days ago
On solving hierarchical problems with top down control
We review recent work on the Hierarchical-If-And-Only-If problem and present a new hierarchical problem, HIFF-M that does not fit with previous explanations for evolutionary diffi...
Susan Khor
GECCO
2005
Springer
104views Optimization» more  GECCO 2005»
15 years 12 months ago
MOEA design of robust digital symbol sets
Optimal constellation design is important in military digital communications for Quadrature Amplitude Modulation (QAM). Optimization realizes a reduced probability of bit error (P...
Richard O. Day, Abel S. Nunez, Gary B. Lamont
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 12 months ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 12 months ago
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
Emily M. Zechman, S. Ranji Ranjithan