Results 21 to 30 of about 4,635,823 (252)
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
Improving NSGA-II with an adaptive mutation operator [PDF]
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, 2009 The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters presents the characteristic of adaptiveness, i.e., the capacity of changing the value of the parameter, in distinct stages of the evolutionary process, using feedbacks from the ...
Carvalho, Arthur, Araujo, Aluizio F. R.
openaire +2 more sources
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
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
Case Studies in Thermal Engineering, 2023 A performance prediction model is built utilizing Slipcevie method and the experimental verification results show that the average errors of Q, ΔPt, ΔPs are 4.4%, 5.3%, 6.0%, respectively. Through parametric study of Ddo_i, Ddb, Nb by Sobol’ method based
Zhe Xu +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
Supplier Selection using NSGA-II Technique
International Journal of Web Portals, 2012 In modern manufacturing industries, supplier selection is increasingly recognized as a critical decision in supply chain management. Supplier selection problem is a typical multiple criteria decision making problem involving a number of different and usually conflicting objectives.
Ranković, Vladimir +5 more
openaire +2 more sources
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
Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency for Many Objectives [PDF]
IEEE Transactions on Evolutionary Computation, 2022 The nondominated sorting genetic algorithm II (NSGA-II) is one of the most prominent algorithms to solve multiobjective optimization problems. Despite numerous successful applications, several studies have shown that the NSGA-II is less effective for ...
Weijie Zheng, Benjamin Doerr
semanticscholar +1 more source
Multiobjective synchronization of coupled systems [PDF]
, 2011 Copyright @ 2011 American Institute of PhysicsSynchronization of coupled chaotic systems has been a subject of great interest and importance, in theory but also various fields of application, such as secure communication and neuroscience. Recently, based
Blekhman I. I. +7 more
core +1 more source