Galapagos: A Distributed Parallel Evolutionary Algorithm Development Platform. Faculty of Applied Science and Engineering

Abstract This thesis describes a new platform, Galapagos, for the development of distributed evolutionary algorithms which can provide useful solutions in practical timescales to difficult optimization problems in the transportation engineering and operation fields. Evolutionary algorithms are powerful stochastic approaches to optimization problems which can find solutions where traditional methods cannot but they can be very computationally demanding. Distributed computing is an approach that has been used with great success to cost-effectively speed up the execution of such resource-intensive algorithms by spreading the load across multiple computers. The Galapagos platform combines these two techniques in a flexible, powerful way so as to enable transportation researchers and practitioners to quickly and easily develop and deploy efficient solutions to previously intractable problems so as to open up new avenues of research in this important field. ii

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