Results 101 to 110 of about 65,077 (195)

Performance evaluation and comparison of multi-objective optimization algorithms for the analytical design of switched reluctance machines

open access: yesCES Transactions on Electrical Machines and Systems, 2017
This paper systematically evaluates and compares three well-engineered and popular multi-objective optimization algorithms for the design of switched reluctance machines.
Shen Zhang   +3 more
doaj   +1 more source

Many-Objective Grasshopper Optimization Algorithm (MaOGOA): A New Many-Objective Optimization Technique for Solving Engineering Design Problems

open access: yesInternational Journal of Computational Intelligence Systems
In metaheuristic multi-objective optimization, the term effectiveness is used to describe the performance of a metaheuristic algorithm in achieving two main goals—converging its solutions towards the Pareto front and ensuring these solutions are well ...
Kanak Kalita   +4 more
doaj   +1 more source

Hierarchical Multi-Population Cooperative Evolutionary Approach for Constrained Multi-Objective Optimization

open access: yesMathematics
To address the complexity of multi-constraint multi-objective optimization problems (mCMOPs), this paper proposes a novel multi-population evolutionary algorithm (MOEA).
Xinyue Xiang   +3 more
doaj   +1 more source

A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem

open access: yesScientific Reports
In recent years, researchers have taken the many-objective optimization algorithm, which can optimize 5, 8, 10, 15, 20 objective functions simultaneously, as a new research topic.
Jiale Zhao   +5 more
doaj   +1 more source

Fair Cost Allocation in Energy Communities Under Forecast Uncertainty

open access: yesIEEE Open Access Journal of Power and Energy
Energy communities (ECs) are an increasingly studied path toward improving prosumer coordination. A central challenge of ECs is to allocate cost savings fairly to members. While many allocation mechanisms have been developed, existing literature does not
Michael Eichelbeck, Matthias Althoff
doaj   +1 more source

A Bi-Objective Optimization Strategy of a Distribution Network Including a Distributed Energy System Using Stepper Search

open access: yesApplied Sciences
The optimal scheduling of DES is to solve a multi-objective optimization problem (MOP) with complex constraints. However, the potential contradiction between multiple optimization objectives leads to the diversity of feasible solutions, which has a ...
Suliang Ma   +3 more
doaj   +1 more source

Solving Hard Multiobjective Problems with a Hybridized Method

open access: yesJournal of Computer Science and Technology, 2010
This paper presents a hybrid method to solve hard multiobjective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front. In this approach, only few points will
Leticia Cagnina, Susana Cecilia Esquivel
doaj  

Pareto-DQN: Approximating the Pareto front in complex multi-objective decision problems

open access: yes, 2019
In many real-world problems, one needs to care about multiple objectives. These objectives can be contradicting and, depending on the decision maker, the different compromises will be ranked differently. In this preliminary work, we propose a novel algorithm: Pareto-DQN, that will estimate the Pareto front of complex environment, with a high ...
Reymond, Mathieu, Nowe, Ann
openaire   +1 more source

Home - About - Disclaimer - Privacy