Journal ArticleDOI
Mixed–discrete structural optimization using a rank-niche evolution strategy
Ting-Yu Chen,H. C. Chen +1 more
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The evolution strategy, which is one of the evolutionary algorithms, is modified to solve mixed–discrete optimization problems and yields better solutions than other methods for most of the test problems.Abstract:
In this study, the evolution strategy, which is one of the evolutionary algorithms, is modified to solve mixed–discrete optimization problems. Three approaches are proposed for handling discrete variables. The first approach is to treat discrete variables as continuous variables and replace the latter with discrete variables that are closest to the continuous variables. The second approach is to compress the difference between discrete variables so that discrete variables far away from the current value will have a higher probability of being selected. The third approach is to represent the discrete variables as integers. As a result, the difference between neighbouring discrete variables becomes equal. This also increases the probability of selection of discrete variables far away from the current value through the mutation operation. Five examples are tested representing single objective, multi-objective, unconstrained, constrained, pure discrete and mixed–discrete variable problems. From the results ob...read more
Citations
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Journal ArticleDOI
Mixed variable structural optimization using Firefly Algorithm
TL;DR: A recently developed metaheuristic optimization algorithm, the Firefly Algorithm, which mimics the social behavior of fireflies based on their flashing characteristics is used for solving mixed continuous/discrete structural optimization problems.
Journal ArticleDOI
A survey of non-gradient optimization methods in structural engineering
TL;DR: A review on non-gradient optimization methods with applications to structural engineering and some remarks on the value of using methods customized for a desired application are made.
Journal ArticleDOI
A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment
Vitor Nazário Coelho,Igor Machado Coelho,Bruno Nazário Coelho,Agnaldo José da Rocha Reis,Agnaldo José da Rocha Reis,Rasul Enayatifar,Marcone Jamilson Freitas Souza,Frederico Gadelha Guimarães +7 more
TL;DR: In this paper, a hybrid evolutionary fuzzy model with parameter optimization is proposed for short-term forecasting over microgrid and large-grids, being able to accurately predict data in short computational time.
Journal ArticleDOI
An improved constrained differential evolution using discrete variables (D-ICDE) for layout optimization of truss structures
TL;DR: A novel discrete variables handling technique is integrated into ICDE and integrating it into original ICDE to give a so-called Discrete-ICDE (D- ICDE) for solving layout truss optimization problems.
Journal ArticleDOI
Static and frequency optimization of folded laminated composite plates using an adjusted Differential Evolution algorithm and a smoothed triangular plate element
TL;DR: In this paper, a coupled numerical method for the static and fundamental frequency optimization of folded laminated composite plates is proposed, where the fiber orientations are taken as design variables which are discrete integer values between −90° and 90°.
References
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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.
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.
Journal ArticleDOI
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Eckart Zitzler,Lothar Thiele +1 more
TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.
Book
Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution
Proceedings Article
Genetic algorithms with sharing for multimodal function optimization
David E. Goldberg,Jon Richardson +1 more
TL;DR: In this article, the authors developed and investigated the method of sharing functions to permit the formation of stable subpopulations of different strings within a GA, thereby permitting the parallel investigation of many peaks.