Results 21 to 30 of about 156,769 (285)
Energies, 2021 Economic Dispatch (ED) problems have been solved using single-objective optimization for so long, as Grid System Operators (GSOs) previously only focused on minimizing the total production cost.
Mohd Helmi Mansor +2 more
doaj +1 more source
A similarity-based cooperative co-evolutionary algorithm for dynamic interval multi-objective optimization problems [PDF]
, 2019 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Dynamic interval multi-objective optimization problems (DI-MOPs) are very common in real-world applications.
Gong, Dunwei +4 more
core +1 more source
Evolutionary Multi-Objective Energy Production Optimization: An Empirical Comparison
Mathematical and Computational Applications, 2020 This work presents the assessment of the well-known Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and one of its variants to optimize a proposed electric power production system.
Gustavo-Adolfo Vargas-Hákim +2 more
doaj +1 more source
Multi-objective evolutionary optimization of sandwich structures: An evaluation by elitist non-dominated sorting evolution strategy [PDF]
, 2017 In this study, an application of evolutionary multi-objective optimization algorithms on the optimization of sandwich structures is presented. The solution strategy is known as Elitist Non-Dominated Sorting Evolution Strategy (ENSES) wherein Evolution ...
Ilyani Akmar, A.B. +2 more
core +2 more sources
Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point [PDF]
, 2013 Many optimization problems arising in applications have to consider several objective functions at the same time. Evolutionary algorithms seem to be a very natural choice for dealing with multi-objective problems as the population of such an algorithm ...
Friedrich, Tobias +2 more
core +2 more sources
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning [PDF]
, 2013 Parameter tuning is recognized today as a crucial ingredient when tackling an optimization problem. Several meta-optimization methods have been proposed to find the best parameter set for a given optimization algorithm and (set of) problem instances ...
Dréo, Johann +4 more
core +3 more sources
A Survey on Search Strategy of Evolutionary Multi-Objective Optimization Algorithms
Applied Sciences, 2023 The multi-objective optimization problem is difficult to solve with conventional optimization methods and algorithms because there are conflicts among several optimization objectives and functions.
Zitong Wang, Yan Pei, Jianqiang Li
doaj +1 more source
Memory-Enhanced Dynamic Multi-Objective Evolutionary Algorithm Based on Lp Decomposition
Applied Sciences, 2018 Decomposition-based multi-objective evolutionary algorithms provide a good framework for static multi-objective optimization. Nevertheless, there are few studies on their use in dynamic optimization. To solve dynamic multi-objective optimization problems,
Xinxin Xu +3 more
doaj +1 more source
Applied Mechanics, 2022 We present a multi-objective topology optimization method based on the Non-Sorting Genetic Algorithm II (NSGA-II). The presented approach is a tool for early-stage engineering applications capable of providing insights into the complex relationship ...
Felix Schleifer, Kevin Deese
doaj +1 more source
Evolutionary Multi-Objective Robust Optimization
, 2008 This work presented and tested an optimization procedure that takes into account robustness in multi-objective optimization. It was shown that the method is able to deal with different types of problems and with different degrees of complexity. The extension of the robust Pareto frontier can be controlled by the Decision Maker by making use of a ...
Ferreira, J. +3 more
openaire +4 more sources