Results 11 to 20 of about 529 (161)
Multi-Objective Quantum-Inspired Seagull Optimization Algorithm
Electronics (Switzerland), 2022 Objective solutions of multi-objective optimization problems (MOPs) are required to balance convergence and distribution to the Pareto front. This paper proposes a multi-objective quantum-inspired seagull optimization algorithm (MOQSOA) to optimize the convergence and distribution of solutions in multi-objective optimization problems.
Wanliang Wang +2 more
exaly +2 more sources
A hybrid swarm intelligent optimization algorithm for antenna design problems [PDF]
Scientific ReportsMeta-heuristic optimization algorithms have seen significant advancements due to their diverse applications in solving complex problems. However, no single algorithm can effectively solve all optimization challenges.
Supreet Singh +5 more
doaj +2 more sources
Optimization of cable tension in large-span cable-stayed bridges based on RBF neural network and improved sea-gull algorithm [PDF]
Scientific ReportsTo enhance the reliability of cable force optimization in large-span cable-stayed bridges, this study presents a force optimization model that considers reliability indicators specific to these types of bridges.
Dan Zhao, Hua Wang, Mengsheng Yu
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Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
Energy Reports, 2019 This study proposes an optimal model to design and simulate the proton exchange membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved version of seagull optimization algorithm for optimal parameter identification of the ...
Yan Cao +4 more
doaj +3 more sources
Mathematics, 2022 The seagull optimization algorithm (SOA), a well-known illustration of intelligent algorithms, has recently drawn a lot of academic interest. However, it has a variety of issues including slower convergence, poorer search accuracy, the single path for ...
Xinyu Liu, Guangquan Li, Peng Shao
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A multi-objective fuzzy programming model for port tugboat scheduling based on the Stackelberg game [PDF]
Scientific ReportsTo solve the optimization problem of tugboat scheduling for assisting ships in entering and exiting ports in uncertain environments, this study investigates the impact of the decisions of tugboat operators and port dispatchers on tugboat scheduling under
Yangjun Ren +5 more
doaj +2 more sources
A Hybrid Whale Optimization with Seagull Algorithm for Global Optimization Problems [PDF]
Mathematical Problems in Engineering, 2021 Seagull optimization algorithm (SOA) inspired by the migration and attack behavior of seagulls in nature is used to solve the global optimization problem. However, like other well-known metaheuristic algorithms, SOA has low computational accuracy and premature convergence.
Yanhui Che, Dengxu He
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IEEE Access, 2022 The traditional seagull optimization algorithm cannot handle multi-objective optimization problems, so a multi-objective quantum-inspired seagull optimization algorithm based on decomposition (MOQSOA/D) is proposed.
Peng Wang, Zhiliang Deng
doaj +1 more source
Hybrid Strategies Based Seagull Optimization Algorithm for Solving Engineering Design Problems
International Journal of Computational Intelligence SystemsThe seagull optimization algorithm (SOA) is a meta-heuristic algorithm proposed in 2019. It has the advantages of structural simplicity, few parameters and easy implementation.
Pingjing Hou +3 more
doaj +2 more sources
A Novel Binary Seagull Optimizer and its Application to Feature Selection Problem
IEEE Access, 2021 Seagull Optimization Algorithm (SOA) is a metaheuristic algorithm that mimics the migrating and hunting behaviour of seagulls. SOA is able to solve continuous real-life problems, but not to discrete problems.
Vijay Kumar +5 more
doaj +1 more source