Improved NSGA-II Multi-objective Genetic Algorithm Based on Hybridization-encouraged Mechanism
نویسندگان
چکیده
منابع مشابه
A Multi-objective Cross-training Plan Based on NSGA-II
The previous research on cross-training mainly focused on productive efficiency. However, enhancing labor’s satisfaction of tasks is as much important as improving production performance. This paper addresses a new cross-training policy for an assembly cell from the point of view of humanization. A multi-objective 0-1 integer programming model is presented to implement the crosstraining policy ...
متن کاملAn Improved NSGA-II Algorithm for Multi-objective Traveling Salesman Problem
Multi-objective traveling salesman problem (MOTSP) is an extended instance of traveling salesman problem (TSP), which is a well-known NP hard problem. In this paper, an improved NSGA-II algorithm (denoted by INSGA-II-MOTSP) is proposed to solve the MOTSP. Specifically, a layer strategy according to need is proposed to avoid generating unnecessary non-dominated fronts. The arena’s principle is a...
متن کاملA Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II
Abstract. Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) computational complexity (where is the number of objectives and is the population size), (ii) non-elitism approach, and (iii) the need for specifying a sharing parameter. In this paper, we suggest a non-dominated sorting based multi-objective evolutionary algor...
متن کاملA Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O(mN3) computational complexity (where m is the number of objectives and N is the population size), (ii) non-elitism approach, and (iii) the need for specifying a sharing parameter. In this paper, we suggest a non-dominated sorting based multi-objective evolutionary algo...
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: Chinese Journal of Aeronautics
سال: 2008
ISSN: 1000-9361
DOI: 10.1016/s1000-9361(08)60172-7