Journal ArticleDOI
Multi-objective optimization of fiber reinforced composite laminates for strength, stiffness and minimal mass
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TLDR
In this article, a multi-objective genetic algorithm is used to obtain Pareto-optimal designs for two model problems having multiple, conflicting, objectives, including load carrying capacity and minimizing the mass of a graphite/epoxy laminate that is subjected to biaxial moments.About:
This article is published in Computers & Structures.The article was published on 2006-11-01. It has received 138 citations till now. The article focuses on the topics: Fiber-reinforced composite & Micromechanics.read more
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Journal ArticleDOI
Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures
TL;DR: The performance of ABC is at par with that of PSO, AIS and GA for all the loading configurations and is evaluated in comparison with other nature inspired techniques which includes Particle Swarm Optimization (PSO), Artificial Immune System (AIS) and Genetic Algorithm (GA).
Journal ArticleDOI
Quantum behaved Particle Swarm Optimization (QPSO) for multi-objective design optimization of composite structures
TL;DR: A new, generic method/model for multi-objective design optimization of laminated composite components using a novel multi- objective optimization algorithm developed on the basis of the Quantum behaved Particle Swarm Optimization (QPSO) paradigm is presented.
Journal ArticleDOI
Multi-objective optimization of curvilinear fiber shapes for laminated composite plates by using NSGA-II
TL;DR: In this article, a multi-objective optimization approach for fibrous composite plates with curvilinear fibers is proposed, where the non-dominated sorting genetic algorithm (NSGA-II) is used to obtain Pareto-optimum solutions.
Journal ArticleDOI
Progressive failure analysis of carbon fiber/epoxy composite laminates using continuum damage mechanics
Pengfei Liu,Jinyang Zheng +1 more
TL;DR: Based on the CDM theory, an energy-based stiffness degradation method is proposed to predict the progressive failure properties of the Al-carbon fiber/epoxy composite laminates as discussed by the authors.
Journal ArticleDOI
Multiobjective stacking sequence optimization for laminated composite structures
TL;DR: In this article, a Pareto-based multiobjective evolutionary algorithm is presented for stacking sequence optimization of composite structural parts, which is applied to the optimal design of a composite plate for weight minimization and maximization of the buckling margins under three hundred load cases.
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
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.
Book
Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb,Deb Kalyanmoy +1 more
TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Book
Mechanics of Laminated Composite Plates and Shells : Theory and Analysis, Second Edition
TL;DR: The use of composite materials in engineering structures continues to increase dramatically, and there have been significant advances in modeling for general and composite materials and structures in particular as discussed by the authors. But the use of composites is not limited to the aerospace domain.
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A technique for the multiobjective optimisation of laminated composite structures using genetic algorithms and finite element analysis
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