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EMO
2009
Springer
140views Optimization» more  EMO 2009»
14 years 1 months 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...
TFS
2008
157views more  TFS 2008»
13 years 8 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
ASIAMS
2009
IEEE
14 years 2 months ago
Evolutionary-Reduced Ordered Binary Decision Diagram
—Reduced ordered binary decision diagram (ROBDD) is a memory-efficient data structure which is used in many applications such as synthesis, digital system, verification, testing ...
Hossein Moeinzadeh, Mehdi Mohammadi, Hossein Pazho...
CEC
2009
IEEE
14 years 3 months ago
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems
— The Redundancy Allocation Problem (RAP) is a kind of reliability optimization problems. It involves the selection of components with appropriate levels of redundancy or reliabi...
Zai Wang, Tianshi Chen, Ke Tang, Xin Yao
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 3 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller