نتایج جستجو برای: nsga іі

تعداد نتایج: 2358  

2016
Xin Yang Zhenxiang Zeng Ruidong Wang Xueshan Sun

This paper presents a novel method on the optimization of bi-objective Flexible Job-shop Scheduling Problem (FJSP) under stochastic processing times. The robust counterpart model and the Non-dominated Sorting Genetic Algorithm II (NSGA-II) are used to solve the bi-objective FJSP with consideration of the completion time and the total energy consumption under stochastic processing times. The cas...

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2023

Very recently, the first mathematical runtime analyses for NSGA-II, most common multi-objective evolutionary algorithm, have been conducted. Continuing this research direction, we prove that NSGA-II optimizes OneJumpZeroJump benchmark asymptotically faster when crossover is employed. Together with a parallel independent work by Dang, Opris, Salehi, and Sudholt, time such an advantage of proven ...

Journal: :Discrete Dynamics in Nature and Society 2020

Journal: :ACM Transactions on Software Engineering and Methodology 2015

Journal: :Journal of Applied Mathematics and Decision Sciences 2009

2012
Horia Calborean Ralf Jahr Theo Ungerer Lucian Vintan

In today’s computer architectures the design spaces are huge, thus making it very difficult to find optimal configurations. One way to cope with this problem is to use Automatic Design Space Exploration (ADSE) techniques. We developed the Framework for Automatic Design Space Exploration (FADSE) which is focused on microarchitectural optimizations. This framework includes several state-of-the ar...

Journal: :IEICE Transactions 2005
Hernán E. Aguirre Kiyoshi Tanaka

In this work we give an extension of Kauffman’s NKLandscapes to multiobjective MNK-Landscapes in order to study the effects of epistasis on the performance of multiobjective evolutionary algorithms (MOEAs). This paper focuses on the development of multiobjective random one-bit climbers (moRBCs). We incrementally build several moRBCs and analyze basic working principles of state of the art MOEAs...

Journal: :IJNCR 2010
Cristiane G. Taroco Eduardo G. Carrano Oriane M. Neto

The growing importance of electric distribution systems justifies new investments in their expansion and evolution. It is well known in the literature that optimization techniques can provide better allocation of the financial resources available for such a task, reducing total installation costs and power losses. In this work, the NSGA-II algorithm is used for obtaining a set of efficient solu...

Journal: :Applied Mathematics and Computation 2013
Rasul Enayatifar Moslem Yousefi Abdul Hanan Abdullah Amer Nordin Darus

A novel multi-objective evolutionary algorithm (MOEA) is developed based on Imperialist Competitive Algorithm (ICA), a newly introduced evolutionary algorithm (EA). Fast non-dominated sorting and the Sigma method are employed for ranking the solutions. The algorithm is tested on six well-known test functions each of them incorporate a particular feature that may cause difficulty to MOEAs. The n...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید