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Evolutionary algorithms are an important branch of soft computing, being able to provide approximate solutions to problems in a reasonable amount of time. The underlying principle can be realized in an almost unlimited number of ways. This paper presents four main variants of evolutionary algorithms, and a method of running them in a topology consisting of multiple populations. The resources given...
Plastic profiles produced by extrusion die are cooled down and calibrated by calibrators, so it is very important to properly design the cooling system in calibrator for the profile quality. Based on the finite element method (FEM) and the finite difference method (FDM), the numerical simulation of the cooling process is realized for plastic profile within calibrator. The simultaneous shape and topology...
Optimization problem of flight sequencing on the ground of airport with multi-taxiway and multi-runway is resolved based on gene expression algorithm, and a standard algorithm of aircraft approach sequencing for airports with any topology structure in theory is approved. Based on an actual airport ground operation situation, a standard algorithm for the two runways of this airport is provided. Compared...
Distributed evolutionary algorithms are of increasing interest and importance for three main reasons: (i) a well designed distributed evolutionary algorithm (dEA) can outperform a `standard' EA in terms of reliability, solution quality, and speed; (ii) they can (of course) be implemented on parallel hardware, and hence combine efficient utilization of parallel resources with very fast and reliable...
Multi-objective evolutionary algorithms (MOEAs) have features that can be exploited to harness the processing power offered by modern multi-core CPUs. Modern programming languages offer the ability to use threads and processes in order to achieve parallelism that is inherent in multi-core CPUs. In this paper we present our parallel implementation of a MOEA algorithm and its application to the de novo...
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