Results 21 to 30 of about 172,422 (234)

Pareto Explorer for Finding the Knee for Many Objective Optimization Problems

open access: yesMathematics, 2020
Optimization problems where several objectives have to be considered concurrently arise in many applications. Since decision-making processes are getting more and more complex, there is a recent trend to consider more and more objectives in such problems,
Oliver Cuate, Oliver Schütze
doaj   +1 more source

Many-Objective Real-World Engineering Problems: A Comparative Study of State-of-the-Art Algorithms

open access: yesIEEE Access, 2023
Many-objective optimization has recently gained popularity as it poses significant challenges for the existing algorithms. Therefore, numerous optimization algorithms have been developed to handle many-objective optimization in the literature.
Vikas Palakonda, Jae-Mo Kang
doaj   +1 more source

Towards Many-Objective Optimization: Objective Analysis, Multi-Objective Optimization and Decision-Making

open access: yesIEEE Access, 2019
This paper presents a tri-level many-objective optimization (TLMaO) approach to provide a final solution for many-objective optimization problems (MaOPs).
J. H. Zheng   +3 more
doaj   +1 more source

Handling Constrained Many-Objective Optimization Problems via Problem Transformation [PDF]

open access: yesIEEE Transactions on Cybernetics, 2021
Objectives optimization and constraints satisfaction are two equally important goals to solve constrained many-objective optimization problems (CMaOPs). However, most existing studies for CMaOPs can be classified as feasibility-driven-constrained many-objective evolutionary algorithms (CMaOEAs), and they always give priority to satisfy constraints ...
Ruwang Jiao   +4 more
openaire   +3 more sources

An Angle-Based Bi-Objective Evolutionary Algorithm for Many-Objective Optimization

open access: yesIEEE Access, 2020
One of the main difficulties in solving many-objective optimization is the lack of selection pressure. For an optimization problem, its main purpose is to obtain a nondominated solution set with better convergence and diversity.
Feng Yang   +4 more
doaj   +1 more source

Evolutionary Many-Objective Optimization Based on Adversarial Decomposition [PDF]

open access: yesIEEE Transactions on Cybernetics, 2020
24 pages, 5 ...
Mengyuan Wu   +3 more
openaire   +3 more sources

Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks

open access: yesRemote Sensing, 2023
With the ongoing changes in global climate, ocean data play a crucial role in understanding the complex variations in the earth system. These variations pose significant challenges to human efforts in addressing the changes.
Yuan Liu   +5 more
doaj   +1 more source

A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization

open access: yesIEEE Access, 2020
Many existing Multi-objective Particle Swarm Optimizers (MOPSOs) may encounter difficulties for a set of good approximated solutions when solving problems with more than three objectives.
Man-Fai Leung   +4 more
doaj   +1 more source

A Many-Objective Evolutionary Algorithm Based on Dual Selection Strategy

open access: yesEntropy, 2023
In high-dimensional space, most multi-objective optimization algorithms encounter difficulties in solving many-objective optimization problems because they cannot balance convergence and diversity. As the number of objectives increases, the non-dominated
Cheng Peng, Cai Dai, Xingsi Xue
doaj   +1 more source

Many-objective optimization of wireless sensor network deployment

open access: yesEvolutionary Intelligence, 2022
Recently, the efficient deployment of Wireless Sensor Networks (WSNs) has become a leading field of research in WSN design optimization. Practical scenarios related to WSN deployment are often considered as optimization models with multiple conflicting objectives that are simultaneously enhanced. In the related literature, it had been shown that moving
Ben Amor, Omar   +3 more
openaire   +3 more sources

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