Results 21 to 30 of about 5,089,183 (236)
Flexible Services and Manufacturing Journal, 2023 Rising costs for energy are increasingly becoming a vital factor for the production planning of manufacturing companies. Manufacturers face the challenge to react to dynamic energy prices and design energy cost efficient schedules in their production ...
S. C. Burmeister +2 more
semanticscholar +1 more source
Comparison of multi-objective genetic algorithms for optimization of cascade reservoir systems
Journal of Water and Climate Change, 2022 Multi-objective genetic algorithms (MOGAs) are widely used for multi-reservoir systems’ optimization due to their high efficiency and fast convergence. However, the computational cost grows exponentially with the expansion of multi-reservoir systems and ...
Manlin Wang +5 more
doaj +1 more source
Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover [PDF]
AAAI Conference on Artificial Intelligence, 2022 Very recently, the first mathematical runtime analyses for the NSGA-II, the most common multi-objective evolutionary algorithm, have been conducted. Continuing this research direction, we prove that the NSGA-II optimizes the OneJumpZeroJump benchmark ...
Benjamin Doerr, Zhongdi Qu
semanticscholar +1 more source
IEEE Transactions on Transportation Electrification, 2023 Railway electrification has attracted substantial interest in recent years as a key part of the global effort to achieve transport decarbonization. To improve the energy efficiency of train operations, of particular interest is the optimization of train ...
Xing Chen, Kang Li, Li Zhang, Z. Tian
semanticscholar +1 more source
Analysis of NSGA-II and NSGA-II with CDAS, and Proposal of an Enhanced CDAS Mechanism
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2009 In this work, we analyze the functionality transition in the evolution process of NSGA-II and an enhanced NSGA-II with the method of controlling dominance area of solutions (CDAS) from the viewpoint of front distribution. We examine the relationship between the population of the first front consisting of non-dominated solutions and the values of two ...
Kyoko Tsuchida +3 more
openaire +1 more source
Computing Offloading Strategy for Concurrent Flow Tasks Based on Two-stage Optimization [PDF]
Jisuanji gongcheng, 2022 Recently, computing offloading has attracted the attention of researchers as one of the most critical technologies in mobile edge computing. However, the existing research rarely considers the application topology, diversity of optimization objectives ...
YAO Zheng, WU Huaiyu, CHEN Yang
doaj +1 more source
Optimal Parameter Design by NSGA-II and Taguchi Method for RCD Snubber Circuit
IEEE Access, 2020 A genetic algorithm and Taguchi method were used to optimize parameters for the residual-current device (RCD) snubber circuit of a DC-DC flyback converter. The most suitable algorithm was determined by using test functions to compare performance in three
Ying Ma +5 more
doaj +1 more source
AAAI Conference on Artificial Intelligence, 2022 The non-dominated sorting genetic algorithm II (NSGA-II) is the most intensively used multi-objective evolutionary algorithm (MOEA) in real-world applications.
Weijie Zheng, Yufei Liu, Benjamin Doerr
semanticscholar +1 more source
Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan +3 more
wiley +1 more source
Frontiers in Energy Research, 2023 In recent years, with the rapid development of renewable energy, the penetration rate of renewable energy generation in the active distribution network (ADN) has increased.
Rui Su +7 more
semanticscholar +1 more source