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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Particle Swarm Optimization with Adaptive Inertia Weight [PDF]
International Journal of Machine Learning and Computing, 2015 In this paper, a new PSO algorithm with adaptive inertia weight is introduced for global optimization. The objective of the study is to balance local search and global search abilities and alternate them through the algorithm progress. For this, an adaptive inertia weight is introduced using a feedback on particles' best positions.
Kessentini, Sameh, Barchiesi, Dominique
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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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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 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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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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Inertia Weight strategies in Particle Swarm Optimization [PDF]
2011 Third World Congress on Nature and Biologically Inspired Computing, 2011 Particle Swarm Optimization is a popular heuristic search algorithm which is inspired by the social learning of birds or fishes. It is a swarm intelligence technique for optimization developed by Eberhart and Kennedy [1] in 1995. Inertia weight is an important parameter in PSO, which significantly affects the convergence and exploration-exploitation ...
J. C. Bansal +5 more
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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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Drude Weight, Meissner Weight, Rotational Inertia of Bosonic Superfluids: How Are They Distinguished? [PDF]
Journal of the Physical Society of Japan, 2014 The Drude weight, the quantity which distinguishes metals from insulators, is proportional to the second derivative of the ground state energy with respect to a flux at zero flux. The same expression also appears in the definition of the Meissner weight, the quantity which indicates superconductivity, as well as in the definition of non-classical ...
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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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