Multi-objective metaheuristics for multi-disciplinary engineering applications
نویسندگان
چکیده
منابع مشابه
The Measure of Pareto Optima : Applications to Multi - objective Metaheuristics
This article describes a set function that maps a set of Pareto optimal points to a scalar. A proof is presented that shows that the maximization of this scalar value constitutes the necessary and sufficient condition for the function’s arguments to be maximally diverse Pareto optimal solutions of a discrete, multi-objective, optimization problem. This scalar quantity, a hypervolume based on a ...
متن کاملMulti-objective Optimization and its Engineering Applications
Many practical optimization problems usually have several conflicting objectives. In those multi-objective optimization, no solution optimizing all objective functions simultaneously exists in general. Instead, Pareto optimal solutions, which are “efficient” in terms of all objective functions, are introduced. In general we have many Pareto optimal solutions. Therefore, we need to decide a fina...
متن کاملSolving Multi-Objective Combinatorial Optimisation with Metaheuristics
It is well known that, on the one hand, combinatorial optimization (CO) provides a powerful tool to formulate and model many optimization problems, on the other hand, a multi-objective (MO) approach is often a realistic and efficient way to treat many real world applications. Nevertheless, until recently, Multi-Objective Combinatorial Optimization (MOCO) did not receive much attention in spite ...
متن کاملRobust Optimization and Sensitivity Analysis with Multi-Objective Genetic Algorithms: Single- and Multi-Disciplinary Applications
Title of Dissertation: ROBUST OPTIMIZATION AND SENSITIVITY ANALYSIS WITH MULTI-OBJECTIVE GENETIC ALGORITHMS: SINGLEAND MULTIDISCIPLINARY APPLICATIONS Mian Li, Doctor of Philosophy, 2007 Dissertation directed by: Shapour Azarm, Professor Department of Mechanical Engineering Uncertainty is inevitable in engineering design optimization and can significantly degrade the performance of an optimized ...
متن کاملComparison of multi-objective optimization methodologies for engineering applications
Computational models describing the behavior of complex physical systems are often used in the engineering design field to identify better or optimal solutions with respect to previously defined performance criteria. Multi-objective optimization problems arise and the set of optimal compromise solutions (Pareto front) has to be identified by an effective and complete search procedure in order t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Engineering Optimization
سال: 2012
ISSN: 0305-215X,1029-0273
DOI: 10.1080/0305215x.2011.647813