A hybrid multi-objective evolutionary algorithm for economic-environmental generation scheduling-Reference-Cited by-同舟云学术

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A hybrid multi-objective evolutionary algorithm for economic-environmental generation scheduling

Published:2019-07-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Tsalavoutis Vasilios¹,Vrionis Constantinos¹,Tolis Athanasios¹

Affiliation:

1. National Technical University of Athens, Athens, Greece

Funder

Alexander S. Onassis Public Benefit Foundation

State Scholarships Foundation

Eugenides Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3321707.3321810

Reference38 articles.

1. Enhanced Lagrangian relaxation solution to the generation scheduling problem

2. A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem

3. Recent advances in differential evolution – An updated survey

4. A fast and elitist multiobjective genetic algorithm: NSGA-II

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3-Objective Pareto Optimization for Problems with Chance Constraints;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

2. An exact solution method and a genetic algorithm-based approach for the unit commitment problem in conventional power generation systems;Computers & Industrial Engineering;2023-02

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