In this work, a multi-objective hybrid optimizer is presented. The optimizer uses several multi-objective evolutionary optimization algorithms and orchestrates the application of these algorithms to multi-objective optimization problems, using an automatic internal switching algorithm. The switching algorithm is designed to favor those search algorithms that quickly improve the Pareto approxima...

In this paper we propose a classification method based on a special class of feed-forward neural network, namely product-unit neural networks, and on a dynamic version of a hybrid evolutionary neural network algorithm. The method combines an evolutionary algorithm, a clustering process, and a local search procedure, where the clustering process and the local search are only applied at specific ...

In this paper we present a new evolutionary framework for 3-SAT. This method can be divided into three stages, where each stage is an evolutionary algorithm. The first stage improves the quality of the initial population. The second stage improves the speed of the algorithm periodically generating new solutions. The 3rd stage is a hybrid evolutionary algorithm, which improves the solutions with...

In this study, the performance of the algorithms of whale, Differential evolutionary, crow search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir with the objective function of meeting downstream water needs. Also, after defining the objective function and its constraints, the convergence degree of the algorithms was compared with each other and with the absolut...

The longest arc-preserving common subsequence problem is an NPhard combinatorial optimization problem from the field of computational biology. This problem finds applications, in particular, in the comparison of arc-annotated Ribonucleic acid (RNA) sequences. In this work we propose a simple, hybrid evolutionary algorithm to tackle this problem. The most important feature of this algorithm conc...

The flow in sewers is a complete three phase flow (air, water and sediment). The mechanism of sediment transport in sewers is very important. In other words, the passing flow must able to wash deposited sediments and the design should be done in an economic and optimized way. In this study, the sediment transport process in sewers is simulated using a hybrid model. In other words, using the Ada...

Sindhya, Karthik Hybrid Evolutionary Multi-Objective Optimization with Enhanced Convergence and Diversity Jyväskylä: University of Jyväskylä, 2011, 64 p.(+included articles) (Jyväskylä Studies in Computing ISSN 1456-5390; 131) ISBN 978-951-39-4372-1 Finnish summary Diss. Evolutionary multi-objective optimization (EMO) algorithms, commonly used to find a set of solutions representing the Pareto ...

this with the integration of distributed generation (dg) to meshed distribution systems, the operating time of the protective system becomes a major concern in order to avoid nuisance dg tripping. this paper proposes a new tripping characteristic for directional overcurrent relays (docrs) that can achieve a higher possible reduction of overall relays operating time in meshed distribution networ...