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

Evolving Lose-Checkers Players using Genetic Programming Amit Benbassat and Moshe Sipper Abstract— We present the application of genetic programming (GP) to the zero-sum, deterministic, full-knowledge board game of Los

Source URL: game.itu.dk

• Game artificial intelligence
• Genetic algorithms
• Search algorithms
• Mathematics
• Applied mathematics
• Artificial intelligence
• Mathematical optimization
• Cybernetics
• Minimax
• Alphabeta pruning
• Genetic programming
• Chromosome

Using the Genetic Algorithms to study the Galactic Structure (#0552) Eduardo B. de Amôres1,2,3,4 and Annie C. Robin4 1Universitat de Barcelona – Spain

Source URL: sait.oat.ts.astro.it

TMRF e-Book Advanced Knowledge Based Systems: Model, Applications & Research (Eds. Sajja & Akerkar), Vol. 1, pp 160 – 187, 2010

Source URL: www.tmrfindia.org

• Genetic algorithms
• Biology
• Applied mathematics
• Nature
• Genetic operator
• Mutation
• Crossover
• Chromosome
• Evolutionary algorithm
• Genetic programming
• Inheritance
• DNA

Assessing efficiency of different evolutionary strategies playing MasterMind Juan J. Merelo, Antonio M. Mora, Thomas P. Runarsson and Carlos Cotta Abstract— A MasterMind player must find out a secret combination (set b

Source URL: game.itu.dk

• Cybernetics
• Search algorithms
• Applied mathematics
• Mathematical optimization
• Evolution
• Gaming
• Mathematics
• Mastermind
• Genetic algorithm
• Algorithm
• Evolutionary computation
• Fitness landscape

CGA04- Genetic and Evolutionary Algorithms Gareth Jones University of Sheffield, UK

Source URL: www.wiley.com

Journal of Machine Learning Research Submitted 8/07; Revised 2/08; Published 5/08 Accelerated Neural Evolution through Cooperatively Coevolved Synapses

Source URL: people.idsia.ch

• Artificial neural networks
• Applied mathematics
• Artificial intelligence
• Evolutionary algorithms
• Machine learning
• Evolutionary computation
• Cybernetics
• Computational statistics
• Neuroevolution
• Coevolution
• Cooperative coevolution
• Genetic algorithm

ENHANCED SHADE AND REAL-WORLD OPTIMIZATION PROBLEMS Petr Bujok, Josef Tvrdik Department of Computer Science, University of Ostrava, Czech Republic ,

Source URL: bioma.ijs.si

• Mathematical optimization
• Operations research
• Cybernetics
• Evolutionary algorithms
• Evolution
• Differential evolution
• Global optimization
• Crossover
• Algorithm
• Genetic algorithm

Online Evolution in Unreal Tournament 2004 Matthew Patrick, Student Member, IEEE Abstract— Traditional approaches to game AI often feature behaviour that is scripted and predictable. Previous attempts at adaptive AI ha

Source URL: game.itu.dk

• Evolutionary algorithms
• Evolution
• Cybernetics
• Mathematical optimization
• Scientific modeling
• Genetic algorithm
• Evolutionary computation
• Fitness landscape
• Evolution strategy
• Multi-agent system
• Agent-based model
• Reinforcement learning

Computers and Structures–1231 Contents lists available at ScienceDirect Computers and Structures journal homepage: www.elsevier.com/locate/compstruc

Source URL: www.mattiagazzola.com

• Numerical analysis
• Mathematical optimization
• Applied mathematics
• Mathematical analysis
• Evolutionary algorithms
• Cybernetics
• Evolution
• Genetic algorithm
• CMA-ES
• Evolutionary computation
• Evolution strategy
• Shape optimization