Comparing evolutionary optimization methods is a difficult task. As more and more of articles are published in this field, the readers and reviewers are swamped with information that is hard to decipher. We propose the use of sparkline histograms that allow compact representation of test data in a way which is extremely fast to read and more informative than usually given metrics.

An approach to automate the design of sound synthesis algorithms (SSA) is proposed. It uses custom descriptions of the SSA in the form of cyclic topology graphs and acyclic tree graphs with ordered branches. Evolutionary methods are used in two stages: a) for suggesting topological arrangements for the SSA functional elements, and b) for optimizing the internal parameters of the functional elem...

Hybrid methods of using evolutionary algorithms with a local search method are often used in the context of singleobjective real-world optimization. In this paper, we discuss a couple of hybrid methods for multi-objective realworld optimization. In the posteriori approach, the obtained non-dominated solutions of a multi-objective evolutionary algorithm (MOEA) run are modified using a local sear...

Self-organizing systems could serve as a solution for many technical problems where properties like robustness, scalability, and adaptability are required. However, despite all these advantages and due to the decentralized control there is no straight-forward way to design such a system. In this paper we describe a novel design approach using genetic algorithms and artificial neural networks to...

Selection is an essential component of evolutionary algorithms, playing an important role especially in solving hard optimization problems. Most previous studies on selection have focused on more or less ideal properties based on asymptotic analysis. In this paper, we address the selection problem from a more practical point of view by considering solution quality achievable within acceptable t...

Mitochondrial Cytochrome Oxidase Subunit I DNA sequences are a good discriminative marker for phylogenetic studies in crustaceans and especially in amphipoda. In the present study, molecular and morphological data were analyzed to test whether Gammarus lobifer authority and Gammarus balutchi authority which one or two geographically separated but morphologically similar species. The analyses pr...

The vast use of Linear Prediction Coefficients (LPC) in speech processing systems has intensified the importance of their accurate computation. This paper is concerned with computing LPC coefficients using evolutionary algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Dif-ferential Evolution (DE) and Particle Swarm Optimization with Differentially perturbed Velocity (PSO-DV...

In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...