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Representation in Evolutionary Computation
2012The representation of a problem for evolutionary computation is the choice of the data structure used for solutions and the variation operators that act upon that data structure. For a difficult problem, choosing a good representation can have an enormous impact on the performance of the evolutionary computation system.
Daniel A. Ashlock +2 more
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Evolutionary computing in robotics
Artificial Life and Robotics, 2002Intelligent systems are required in knowledge engineering, computer science, mechatronics, and robotics. This article discusses machine (system) intelligence from the viewpoints of the learning and adaptation of living things. We then introduce computational intelligence, including neural networks, fuzzy systems, and genetic algorithms, and end with a ...
Toshio Fukuda, Yasuhisa Hasegawa
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Evolutionary Computation and Games
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016In recent years, the field of Computational Intelligence and Games (CIG) has enjoyed rapid progress and a sharp rise in popularity. In this field, algorithms from across the computational intelligence spectrum are tested on benchmarks based on e.g. board games and video games, and new CI-based solutions are developed for problems in game development ...
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Introduction to Evolutionary Computing
Evolutionary Computation, 2004This book was written by its two authors with the explicit intention that it would become one of the standard text books on evolutionary computation, to rival ”the greats”, namely those of Goldberg (1989), Davis (1991), Michalewicz (1992-1996), Koza (1992), Back (1995), and Mitchell (1996) .
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A perspective on evolutionary computation
1995During the last three decades there has been a growing interest in algorithms which rely on analogies to natural processes. The emergence of massively parallel computers made these algorithms of practical interest. The best known algorithms in this class include evolutionary programming, genetic algorithms, evolution strategies, simulated annealing ...
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Computational Evolutionary Musicology
2007The beginning of Chapter 2 offered a sensible definition of music as temporally organized sound. In the broader sense of this definition, one could arguably state that music is not uniquely human. A number of other animals also seem to have music of some sort. Complex vocalizations can be found in many birds (Marler and Slabbekoorn 2004), as well as in
Miranda, E., Todd, P.
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Soft Computing - A Fusion of Foundations, Methodologies and Applications, 1998
This paper elaborates on a new paradigm of computing embracing fuzzy sets and evolutionary methods (specially genetic algorithms). We discuss conceptual and algorithmic enhancements to the individual methods. Fuzzy sets are geared toward granular information processing. Evolutionary computing are population-based optimization methods.
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This paper elaborates on a new paradigm of computing embracing fuzzy sets and evolutionary methods (specially genetic algorithms). We discuss conceptual and algorithmic enhancements to the individual methods. Fuzzy sets are geared toward granular information processing. Evolutionary computing are population-based optimization methods.
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Medical Applications of Evolutionary Computation
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2014The application of genetic and evolutionary computation to problems in medicine has increased rapidly over the past five years, but there are specific issues and challenges that distinguish it from other real-world applications. Obtaining reliable and coherent patient data, establishing the clinical need and demonstrating value in the results obtained ...
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Creative evolutionary computation
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019Antonios Liapis, Georgios N. Yannakakis
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