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2009
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Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms

9 years 2 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find hard to solve. This paper is intended towards this direction and show a systematic application of a GA and its modification to solve a real-world optimization problem of sizing a solar thermal electricity plant. Despite the existence of only three variables, this problem exhibits a number of other common difficulties — black-box nature of solution evaluation, massive multi-modality, wide and non-uniform range of variable values, and terribly rugged function landscape – which prohibits a classical optimization method to find even a single acceptable solution. Both GA implementations perform well and a local analysis is performed to demonstrate the optimality of obtained solutions. This study considers both classical and genetic optimization on a fairly complex yet typical real-world optimization problems ...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where CEC
Authors Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Francisco Ruiz, Kalyanmoy Deb, Rahul Tewari
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