Clustering cuckoo search optimization for economic load dispatch problem
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05036-w
Abstract: In this paper, a clustering cuckoo search optimization (CCSO) is proposed. Different from the randomly generated step size in CSO, the step size in CCSO is generated by a clustering mechanism, and the value is… read more here.
Keywords: clustering cuckoo; search optimization; cuckoo search; load dispatch ... See more keywords
Parameter estimation of PEMFC based on Improved Fluid Search Optimization Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Energy Reports"
DOI: 10.1016/j.egyr.2020.05.006
Abstract: Abstract This paper presents a new optimal method for model estimation of the unknown parameters of circuit-based proton exchange membrane fuel cells (PEMFCs). The main idea is to minimize the sum of squared error (SSE)… read more here.
Keywords: algorithm; improved fluid; fluid search; search optimization ... See more keywords
Improved fluid search optimization-based real-time weed mapping
Sign Up to like & getrecommendations! Published in 2020 at "Information Processing in Agriculture"
DOI: 10.1016/j.inpa.2019.10.002
Abstract: Abstract In the field of agriculture, variable-rate herbicide spraying (VRHS) technology has been used to solve the low efficiency of pesticides and crop chemical residues. The key of VRHS is the quick and precise identification… read more here.
Keywords: improved fluid; fluid search; time; search optimization ... See more keywords
Parameter estimation of a photovoltaic array using direct search optimization algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/1.4995270
Abstract: This paper presents a parameter estimation technique to determine the photovoltaic (PV) cell parameters from experimental measurements, using the direct search optimization method. A double diode model is considered to represent a photovoltaic (PV) cell,… read more here.
Keywords: technique; direct search; search optimization; photovoltaic ... See more keywords
Novel chaotic atomic search optimization algorithm with genetic mutation mechanism for solving engineering design problems
Sign Up to like & getrecommendations! Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/add8c7
Abstract: The Atomic Search Optimization (ASO) algorithm is an efficient metaheuristic algorithm inspired by molecular-based dynamics. Although it effectively solves numerous engineering design optimization problems, the algorithm still has drawbacks, such as premature convergence and an… read more here.
Keywords: search; engineering design; search optimization; atomic search ... See more keywords
Search optimization, funnel topography, and dynamical criticality on the string landscape
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2019/12/014
Abstract: A striking feature of our universe is its near criticality. The cosmological constant and weak hierarchy problems, as well as the metastability of the electroweak vacuum, can all be understood as problems of criticality. This… read more here.
Keywords: time; criticality; landscape; string landscape ... See more keywords
Uncertain Scenario Based MicroGrid Optimization via Hybrid Levy Particle Swarm Variable Neighborhood Search Optimization (HL_PS_VNSO)
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2999935
Abstract: Within the MicroGrid environment, the Energy Resource Management (ERM) problem becomes highly complex due to the uncertainty related to the Renewable Generation (RG) such as Photovoltaic power generation (PV), Electric Vehicle (EV) trip with Grid… read more here.
Keywords: optimization; neighborhood search; variable neighborhood; search optimization ... See more keywords
Falsification Detection System for IoV Using Randomized Search Optimization Ensemble Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3233536
Abstract: Falsification detection is a critical advance in ensuring that real-time information about vehicles and their movement states is certified on the Internet of Vehicles (IoV). Thus, detecting nodes that are propagating inaccurate information is a… read more here.
Keywords: falsification detection; falsification; search optimization; optimization ensemble ... See more keywords
Atomic physics-inspired atom search optimization heuristics integrated with chaotic maps for identification of electro-hydraulic actuator systems
Sign Up to like & getrecommendations! Published in 2024 at "Modern Physics Letters B"
DOI: 10.1142/s0217984924503081
Abstract: Electro-hydraulic actuator system (EHAS) has imposed a challenge in the research community for accurate mathematical modeling and identification due to non-linearities. In this paper, autoregressive exogenous (ARX) structure is used for EHAS modeling and identification… read more here.
Keywords: search optimization; identification; atom search; physics ... See more keywords
Deep-Mining Backtracking Search Optimization Algorithm Guided by Collective Wisdom
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/2540102
Abstract: The backtracking search optimization algorithm (BSA) is a recently proposed evolutionary algorithm with simple structure and well global exploration capability, which has been widely used to solve optimization problems. However, the exploitation capability of the… read more here.
Keywords: collective wisdom; backtracking search; search; search optimization ... See more keywords
Metaheuristic-Based Control Parameter Optimization of DFIG-Based Wind Energy Conversion Systems Using the Opposition-Based Search Optimization Algorithm
Sign Up to like & getrecommendations! Published in 2025 at "Energies"
DOI: 10.3390/en18215843
Abstract: Renewable wind energy systems widely employ doubly fed induction generators (DFIGs), where efficient converter control ensures grid-integrated power system stability and reliability. Conventional proportional–integral (PI) controller tuning methods often encounter challenges with nonlinear dynamics and… read more here.
Keywords: search optimization; wind energy; dfig based; optimization ... See more keywords