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» Evolutionary multiobjective optimization
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GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
15 years 5 months ago
Evolutionary motion design for humanoid robots
We propose a new approach to generating the motion of humanoid robots intuitively by means of Interactive Evolutionary Computation (IEC). In our system, novice users are able to d...
Toshihiko Yanase, Hitoshi Iba
HIS
2007
15 years 2 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
ESWA
2010
175views more  ESWA 2010»
15 years 18 hour ago
A multi-objective PSO for job-shop scheduling problems
Most previous research into the job-shop scheduling problem has concentrated on finding a single optimal solution (e.g., makespan), even though the actual requirement of most prod...
D. Y. Sha, Hsing-Hung Lin
GECCO
2010
Springer
178views Optimization» more  GECCO 2010»
15 years 6 months ago
Crossing the reality gap in evolutionary robotics by promoting transferable controllers
The reality gap, that often makes controllers evolved in simulation inefficient once transferred onto the real system, remains a critical issue in Evolutionary Robotics (ER); it p...
Sylvain Koos, Jean-Baptiste Mouret, Stéphan...
GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
15 years 6 months ago
Improving NSGA-II with an adaptive mutation operator
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
Arthur Gonçalves Carvalho, Aluizio F. R. Ar...