An Optimal Solution for Smooth and Non-Smooth Cost Functions-Based Economic Dispatch Problem
Energies, 2020 A modified particle swarm optimization and incorporated chaotic search to solve economic dispatch problems for smooth and non-smooth cost functions, considering prohibited operating zones and valve-point effects is proposed in this paper.
Chun-Yao Lee, Maickel Tuegeh
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Research on Bearing Fault Diagnosis Method Based on IPSO-RVM
Journal of Harbin University of Science and Technology, 2022 Aiming at the problems of poor classification effect of support vector machine in traditional particle swarm optimization support vector machine and inaccuracy of traditional particle swarm optimization in bearing fault diagnosis, an improved particle ...
ZHANG Han +4 more
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The inertia of weighted unicyclic graphs
Linear Algebra and its Applications, 2014 Let $G_w$ be a weighted graph. The \textit{inertia} of $G_w$ is the triple $In(G_w)=\big(i_+(G_w),i_-(G_w), $ $ i_0(G_w)\big)$, where $i_+(G_w),i_-(G_w),i_0(G_w)$ are the number of the positive, negative and zero eigenvalues of the adjacency matrix $A(G_w)$ of $G_w$ including their multiplicities, respectively.
Yu, Guihai +2 more
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Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution
Discrete Dynamics in Nature and Society, 2010 This paper proposes an efficient method to solve the optimal power flow problem in power systems using Particle Swarm Optimization (PSO). The objective of the proposed method is to find the steady-state operating point which minimizes the fuel cost ...
Prabha Umapathy +2 more
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PMDC Motor Parameter Estimation Using Bio-Inspired Optimization Algorithms
IEEE Access, 2017 The precise estimation of the motor parameter is essential to design the appropriate controller. The main goal of this paper is to estimate the parameters of permanent magnet dc (PMDC) motor used in a wheelchair, applying standard as well as a dynamic ...
V. Sankardoss, P. Geethanjali
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A Novel Komodo Mlipir Algorithm and Its Application in PM2.5 Detection
Atmosphere, 2022 The paper presents an improved Komodo Mlipir Algorithm (KMA) with variable inertia weight and chaos mapping (VWCKMA). In contrast to the original Komodo Mlipir Algorithm (KMA), the chaotic sequence initialization population generated by Tent mapping and ...
Linxuan Li, Ming Zhao
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Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm [PDF]
PeerJ Computer ScienceTo overcome the mechanical limitations of traditional inertia weight optimization methods, this study draws inspiration from machine learning models and proposes an inertia weight optimization strategy based on the K-nearest neighbors (KNN) principle ...
Shixing Zheng
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Improved Whale Optimization Algorithm Based on Fusion Gravity Balance
Axioms, 2023 In order to improve the shortcomings of the whale optimization algorithm (WOA) in dealing with optimization problems, and further improve the accuracy and stability of the WOA, we propose an enhanced regenerative whale optimization algorithm based on ...
Chengtian Ouyang +3 more
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A MODIFIED PARTICLE SWARM OPTIMIZATION WITH RANDOM ACTIVATION FOR INCREASING EXPLORATION
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2015 Particle Swarm Optimization (PSO) is a popular optimization technique which is inspired by the social behavior of birds flocking or fishes schooling for finding food.
Alrijadjis Alrijadjis +3 more
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Research on multi-UAVs route planning method based on improved bat optimization algorithm
Cogent Engineering, 2023 In a complex navigation environment, it is very important to solve the problems of multiple constraints and complex calculations in the route planning process of multiple reconnaissance unmanned aerial vehicles (UAVs) to improve the flight reconnaissance
Yongcheng Wang +3 more
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