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Maximizing Nash Social Welfare Based on Greedy Algorithm and Estimation of Distribution Algorithm [PDF]

open access: yesBiomimetics
The Nash social welfare (NSW) problem is relevant not only to the economic domain but also extends its applicability to the field of computer science. However, maximizing Nash social welfare is an APX-hard problem.
Weizhi Liao   +4 more
doaj   +2 more sources

Theory of Estimation-of-Distribution Algorithms [PDF]

open access: yesProceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2019
This is a preliminary version of a chapter in the upcoming book "Theory of Randomized Search Heuristics in Discrete Search Spaces", edited by Benjamin Doerr and Frank Neumann, to be published by ...
Krejca, Martin S., Witt, Carsten
  +6 more sources

Enhanced Particle Swarm Optimization Algorithm for Sea Clutter Parameter Estimation in Generalized Pareto Distribution

open access: yesApplied Sciences, 2023
Accurate parameter estimation is essential for modeling the statistical characteristics of ocean clutter. Common parameter estimation methods in generalized Pareto distribution models have limitations, such as restricted parameter ranges, lack of closed ...
Bin Yang, Qing Li
doaj   +1 more source

A New Generalized t Distribution Based on a Distribution Construction Method

open access: yesMathematics, 2021
In this paper, a new generalized t (new Gt) distribution based on a distribution construction approach is proposed and proved to be suitable for fitting both the data with high kurtosis and heavy tail. The main innovation of this article consists of four
Ruijie Guan   +3 more
doaj   +1 more source

Optimal sensor placement in distribution network based on super resolution network

open access: yesEnergy Reports, 2022
With the development of smart grids and emerging measurement technologies, the massive growth of distribution grid data may impact the reliable, economic, and safe operation of the distribution network.
Qifeng Lv   +5 more
doaj   +1 more source

Multimodal Estimation of Distribution Algorithms [PDF]

open access: yesIEEE Transactions on Cybernetics, 2017
Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high diversity, this paper proposes a multimodal EDA. Integrated with clustering strategies for crowding and speciation, two versions of this algorithm are developed, which operate at the niche level.
Yang, Qiang   +5 more
openaire   +4 more sources

An Adaptive Covariance Scaling Estimation of Distribution Algorithm

open access: yesMathematics, 2021
Optimization problems are ubiquitous in every field, and they are becoming more and more complex, which greatly challenges the effectiveness of existing optimization methods.
Qiang Yang   +6 more
doaj   +1 more source

Significance-Based Estimation-of-Distribution Algorithms [PDF]

open access: yesIEEE Transactions on Evolutionary Computation, 2018
Estimation-of-distribution algorithms (EDAs) are randomized search heuristics that create a probabilistic model of the solution space, which is updated iteratively, based on the quality of the solutions sampled according to the model. As previous works show, this iteration-based perspective can lead to erratic updates of the model, in particular, to ...
Doerr, Benjamin, Krejca, Martin
openaire   +4 more sources

Optimal model parameter estimation of solar and fuel cells using improved estimation of distribution algorithm

open access: yesAin Shams Engineering Journal, 2021
Renewable energy through the use of fuel cells and solar cells is one of the popular developments in recent days that produce electricity. Accurate modelling of fuel cell and solar cells are essential in simulation and analysis of energy systems with ...
Benin Pratap Chandran   +3 more
doaj   +1 more source

A novel ensemble estimation of distribution algorithm with distribution modification strategies

open access: yesComplex & Intelligent Systems, 2023
The canonical estimation of distribution algorithm (EDA) easily falls into a local optimum with an ill-shaped population distribution, which leads to weak convergence performance and less stability when solving global optimization problems.
Xiaofei Wang   +4 more
doaj   +1 more source

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