نتایج جستجو برای: non dominated sorting firefly algorithm

تعداد نتایج: 2058130  

Journal: :IEEE Access 2021

Combining classical technologies with modern intelligent algorithms, this paper introduces a new approach for the optimisation and modelling of EAF-based steel-making process based on multi-objective using evolutionary computing machine learning. Using large amount real-world historical data containing 6423 consecutive EAF heats collected from melt shop in an established steel plant work not on...

Journal: :Buildings 2022

This paper develops an integrated model for the distribution of post-disaster temporary shelters after a large-scale disaster. The proposed clusters impacted areas using Adaptive Neuro-Fuzzy Inference System (ANFIS) method and then prioritizes points by affecting factors on route reliability permanent matrix. model’s objectives are to minimize maximum service time, maximize unmet demand. In cas...

2012
Seyed Habib A. Rahmati

During last decades, developing multi-objective evolutionary algorithms for optimization problems has found considerable attention. Flexible job shop scheduling problem, as an important scheduling optimization problem, has found this attention too. However, most of the multi-objective algorithms that are developed for this problem use nonprofessional approaches. In another words, most of them c...

2010
Jaydev Sharma F. Batrinu E. Carpaneto G. Chicco M. De Donno P. Postolache C. Toader

In this paper, one of the evolutionary algorithm based method, Non-Dominated Sorting Genetic Algorithm (NSGA) has been presented for the Volt / Var control in power distribution systems with dispersed generation (DG). The proposed method is better suited for volt/var control problems. Genetic algorithm approach is used due to its broad applicability, ease of use and high accuracy. A multi-objec...

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