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The following topics are dealt with: hybrid intelligent systems; distributing and simulation systems; metaheuristics; image processing and robotics; decision making and recommender systems; hybrid fuzzy modelling; hybrid multiobjective optimisation; neural networks; learning and knowledge discovery; bioinformatics; evolutionary computation; data mining techniques; data reduction; neurofuzzy systems;...
Applications of evolutionary computation (EC) techniques to computer vision are drawing increasing interest from researchers. There are many different ways in which EC techniques can be used as an effective aid to solve problems in the computer vision domain. This paper provides a brief review of the opportunities offered by EC to researchers in computer vision, trying to classify them according to...
This paper gives an overview on some classes of binary connectives that play a key role in fuzzy logic. We start with left-continuous triangular norms, by recalling some facts about the nilpotent minimum and its extensions. Some standard construction methods are also described. We also deal with two possible extensions of t-norms: the classes of uninorms and nullnorms.
Recent attempts for direct extension of ant algorithms to continuous decision space led to a new approach called ACOR. The authors of proposed method tested their algorithm on some well-known benchmark problems presented in the literature and concluded the strong performance of ACOR in comparison with other ant and non-ant based methods. In this paper, we briefly review the central idea and mathematical...
In this paper, we introduce a simulated annealing algorithm for single objective, trans-dimensional optimization problems. Trans-dimensional optimization refers to a class of problems where candidate solutions can have different number of variables. For such problems, the existing optimization methods need to be run for various models (i.e. problems with fixed number of variables) extensively, which...
Particle swarm optimization (PSO) has been widely used to solve unconstrained optimization problems. However, problems in hyper dimensional spaces require the development of enhanced issues. For this, some variations of the original PSO form have been proposed, mainly concerning on the velocity update equation and sophisticated communication topologies of the swarm. In this paper, we propose a PSO...
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