# Search results for: David A. Pelta

Angewandte Chemie International Edition > 63 > 4 > n/a - n/a

Angewandte Chemie > 136 > 4 > n/a - n/a

International Journal of Intelligent Systems > 34 > 3 > 400 - 414

International Journal of Intelligent Systems > 32 > 7 > 722 - 738

Studies in Fuzziness and Soft Computing > Fuzzy Sets Based Heuristics for Optimization > Soft Computing and Metaheuristics > 49-66

Studies in Fuzziness and Soft Computing > Recent Advances in Memetic Algorithms > Applications of Memetic Algorithms > 49-64

Memetic Computing > 2017 > 9 > 2 > 141-151

Expert Systems with Applications > 2016 > 55 > C > 441-451

Progress in Nuclear Energy > 2016 > 91 > C > 97-106

Progress in Artificial Intelligence > 2016 > 5 > 4 > 315-322

Studies in Computational Intelligence > Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) > 41-55

Studies in Fuzziness and Soft Computing > Applied Decision Support with Soft Computing > Applications and Implementations > 391-401

Studies in Computational Intelligence > Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) > 1-19

*S*and

*T*(the adversary), both engage in a repeated conflicting situation in which agent

*T*tries to learn how to predict the behaviour of

*S*. One defense...

*automated*design of systems self-assembly. We will focus in three important minimalist self-assembly problems and we discuss the difficulties encountered while applying EAs to these test cases. We also suggest...

Studies in Computational Intelligence > Intelligent Systems and Technologies > Applications > 123-136

Studies in Computational Intelligence > Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) > 371-383

Lecture Notes in Computer Science > Applications of Evolutionary Computing > EvoBIO Contributions > 11-21

*FANS*, a fuzzy sets-based heuristic, is applied to a particular case of the Molecular Structure Matching problem: given two molecules

*A*(the pattern) and

*B*(the target) we want to find a subset of points of

*B*whose set of intra-atomic distances is the most similar to that of

*A*. This is a hard combinatorial problem because, first we have to determine a subset of atoms of

*B*and then...