THE IMPACT OF QUALITY INDICATORS ON THE RATING OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS ˇ Miha Ravber, Marjan Mernik, Matej Crepinˇ sek

Source URL: bioma.ijs.si

• Mathematical optimization
• Multi-objective optimization
• MOEA Framework
• Algorithm
• Evolutionary algorithm
• Pareto efficiency

Advances in Particle Swarm Optimization AP Engelbrecht Computational Intelligence Research Group (CIRG) Department of Computer Science University of Pretoria South Africa

Source URL: www.wcci2016.org

• Mathematical optimization
• Operations research
• Evolutionary algorithms
• Metaheuristics
• Particle swarm optimization
• Swarm intelligence
• Applied mathematics
• Multi-objective optimization
• Numerical analysis
• Computational intelligence
• Cognition
• Swarm behaviour

Constrained Level Generation through Grammar-Based Evolutionary Algorithms Jose M. Font*1 , Roberto Izquierdo2 , Daniel Manrique2 , and Julian Togelius3 1 U-tad, Centro Universitario de Tecnolog´ıa y Arte Digital, C/P

Source URL: julian.togelius.com

• Graph theory
• Procedural generation
• Cycle
• Graph coloring
• NP-complete problems
• Book:Graph Theory

THE EXPONENTIAL CROSSOVER IN L-SHADE ALGORITHM Radka Pol´akov´a Centre of Excellence IT4Innovations, Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic radka.polakova@osu.c

Source URL: bioma.ijs.si

• Mathematical optimization
• Evolutionary algorithms
• Cybernetics
• Operations research
• Genetic algorithms
• Differential evolution
• Crossover
• NP
• Algorithm
• Normal distribution

Microsoft Word - Applying GA for Reward Allotment in an Event-driven Hybrid Learning Classifier System for Soccer Video Games

Source URL: www.csse.uwa.edu.au

• Applied mathematics
• Cybernetics
• Artificial intelligence
• Machine learning
• Evolutionary algorithms
• Mathematical optimization
• Search algorithms
• Learning classifier system
• Genetic algorithm
• Q-learning
• Reinforcement learning
• Statistical classification

TMRF e-Book Advanced Knowledge Based Systems: Model, Applications & Research (Eds. Sajja & Akerkar), Vol. 1, pp 126 – 159, 2010

Source URL: www.tmrfindia.org

• Genetic algorithms
• Cybernetics
• Applied mathematics
• Evolutionary algorithms
• Cognitive science
• Artificial intelligence
• Mathematical optimization
• Evolution
• Ant colony optimization algorithms
• Swarm intelligence
• Crossover
• Evolutionary computation

Inventions E By John R. Koza, Martin A. Keane and Matthew J. Streeter volution is an immensely powerful including several that were hailed as seminal in

Source URL: www.eecs.harvard.edu

• Genetic algorithms
• Evolutionary algorithms
• Biology
• Mathematical optimization
• Evolution
• Science and technology in the United States
• Applied mathematics
• John Koza
• Genetic programming
• Otto Julius Zobel
• Synthesizer
• Fitness function

Acciaio Simulation and meta-modeling of electron beam welding using genetic algorithms K. Mohanty, G. G. Roy, N. Chakraborti Multi-objective evolutionary and genetic algorithms based meta-models were constructed

Source URL: www.aimnet.it

PARALLEL MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS El-Ghazali Talbi University of Lille 1, Villeneuve d’Ascq, France

Source URL: bioma.ijs.si

• Mathematical optimization
• Operations research
• Cybernetics
• Multi-objective optimization
• Pareto efficiency
• Evolutionary algorithm
• Ant colony optimization algorithms
• Algorithm
• Multiple-criteria decision analysis
• MCACEA
• Parallel metaheuristic

Search-based Procedural Content Generation Julian Togelius1 , Georgios N. Yannakakis1 , Kenneth O. Stanley2 , Cameron Browne3 1 2

Source URL: www.itu.dk

• Genetic algorithms
• Evolution
• Biology
• Cybernetics
• Applied mathematics
• Mathematical optimization
• Nature
• Evolutionary algorithm
• Search algorithm
• Procedural generation
• Chromosome
• Fitness