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Review of utilization of genetic algorithms in heat transfer problems

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TLDR
The main features of the problems addressed with GAs including the modeling, number of variables, and GA settings are presented, useful for future use of GAs in heat transfer.
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This article is published in International Journal of Heat and Mass Transfer.The article was published on 2009-04-01. It has received 378 citations till now. The article focuses on the topics: Heat transfer.

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A review of computational optimisation methods applied to sustainable building design

TL;DR: A comprehensive review of all significant research applying computational optimisation to sustainable building design problems is presented in this article, where a summary of common heuristic optimisation algorithms is given, covering direct search, evolutionary methods and other bio-inspired algorithms.
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Development of a multicriteria tool for optimizing the renovation of buildings

TL;DR: In this article, a multi-criteria tool, MultiOpt, was developed for the optimization of renovation operations, with an emphasis on building envelopes, heating and cooling loads and control strategies.
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Thermal optimization of PCM based pin fin heat sinks: An experimental study

TL;DR: In this paper, an experimental investigation carried out to characterize the thermal performance of different configurations of phase change material (PCM) based pin fin heat sinks was carried out and the results showed that there exists sufficient scope to optimize the thermal design of the heat sink.
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Dynamic multi-objective optimization based on membrane computing for control of time-varying unstable plants

TL;DR: A novel membrane control strategy is proposed in this article and is applied to the optimal control of a time-varying unstable plant and results clearly illustrate that the control strategy based on the dynamic multi-objective optimization algorithm is highly effective with a short rise time and a small overshoot.
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Design of shell-and-tube heat exchangers using multiobjective optimization

TL;DR: In this article, a multiobjective optimization of the heat transfer area and pumping power of a shell-and-tube heat exchanger is presented to provide the designer with multiple Pareto-optimal solutions which capture the trade-off between the two objectives.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI

Optimization by Simulated Annealing

TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Journal ArticleDOI

A fast and elitist multiobjective genetic algorithm: NSGA-II

TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book

Adaptation in natural and artificial systems

TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.