Title :
Table of contents
Abstract :
The following topics are dealt with: computational intelligence; computational games; memetic computing; evolutionary computer vision; bio-inspired computation; evolutionary multiobjective optimization; decision making; differential evolution; combinatorial optimization; artificial bee colony algorithms; swarm intelligence; real-world engineering optimization; complex networks; machine learning; statistical learning; nature-inspired constrained optimization; bioinformatics; data mining; evolutionary games; multiagent systems; hybrid evolutionary computational methods; large scale global optimization; cloud computing; learning classifier systems; opposition-based learning; genetic programming; hyperheuristics; predictive maintenance; cultural algorithms; knowledge extraction; single objective numerical optimization; process mining; estimation of distribution algorithms; biomedical applications; robotics applications; engineering applications; constraint handling; preference handling; and firework algorithms.
Keywords :
artificial intelligence; biocomputing; bioinformatics; cloud computing; combinatorial mathematics; computer vision; constraint handling; data mining; decision making; game theory; multi-agent systems; optimisation; pattern classification; robots; artificial bee colony algorithms; bio-inspired computation; bioinformatics; biomedical applications; cloud computing; combinatorial optimization; complex networks; computational games; computational intelligence; constraint handling; cultural algorithms; data mining; decision making; differential evolution; engineering applications; estimation of distribution algorithms; evolutionary computer vision; evolutionary games; evolutionary multiobjective optimization; firework algorithms; genetic programming; hybrid evolutionary computational methods; hyperheuristics; knowledge extraction; large scale global optimization; learning classifier systems; machine learning; memetic computing; multiagent systems; nature-inspired constrained optimization; opposition-based learning; predictive maintenance; preference handling; process mining; real-world engineering optimization; robotics applications; single objective numerical optimization; statistical learning; swarm intelligence;
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
DOI :
10.1109/CEC.2014.6900664
