Visual Control in Quake II with a Cyclic Controller Matt Parker and Bobby D. Bryant Abstract— A cyclic controller is evolved in the first person shooter computer game Quake II, to learn to attack a randomly moving enem

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

• Cybernetics
• Evolutionary algorithms
• Artificial neural networks
• Computational neuroscience
• Evolutionary computation
• Neuroevolution
• Genetic algorithm
• Control theory
• Controller
• Retina

Transfer of Evolved Pattern-Based Heuristics in Games Erkin Bahc¸eci and Risto Miikkulainen Abstract— Learning is key to achieving human-level intelligence. Transferring knowledge that is learned on one task to anothe

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

• Artificial neural networks
• Evolutionary algorithms
• Applied mathematics
• Artificial intelligence
• Machine learning
• Evolutionary computation
• Genetic algorithms
• Computational statistics
• Neuroevolution
• HyperNEAT
• Compositional pattern-producing network
• Pattern recognition

Solving Sudoku with Genetic Operations that Preserve Building Blocks Yuji Sato, Member, IEEE, and Hazuki Inoue averting the destruction of BB in an attempt to increase the accuracy of GA solutions of Sudoku puzzles. Sect

Source URL: game.itu.dk

• Genetic algorithms
• Logic puzzles
• Puzzle video games
• Sudoku
• Recreational mathematics
• Genetic operator
• Crossover
• Puzzle
• Chromosome
• Mathematics of Sudoku
• Sudoku solving algorithms

Pac-mAnt: Optimization Based on Ant Colonies Applied to Developing an Agent for Ms. Pac-Man Martin Emilio, Martinez Moises, Recio Gustavo, Saez Yago Member, IEEE Abstract— This paper proposes the use of an optimizatio

Source URL: game.itu.dk

• Software
• Digital media
• Gaming
• Pac-Man
• Travelling salesman problem
• Ghosts
• Namco
• Ant
• Genetic algorithm
• Ant colony optimization algorithms

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

FOGAACM/SIGEVO Foundations of Genetic Algorithms XIII 17–20 January 2015, Aberystwyth, Wales, UK Extended Submission Date 31 August 2014 Organisers

Source URL: foga2015.dcs.aber.ac.uk

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