Mengjian Zhang
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View article: Camera calibration based on hybrid differential evolution and crayfish optimization algorithm
Camera calibration based on hybrid differential evolution and crayfish optimization algorithm Open
View article: A CONSTRUCTION OF NATURE-BASED SOLUTION FOR WETLAND PURIFICATION WITH ANALYTIC HIERARCHY PROCESS AND FUZZY SET QUALITATIVE COMPARATIVE ANALYSIS
A CONSTRUCTION OF NATURE-BASED SOLUTION FOR WETLAND PURIFICATION WITH ANALYTIC HIERARCHY PROCESS AND FUZZY SET QUALITATIVE COMPARATIVE ANALYSIS Open
View article: Hybrid golden jackal and golden sine optimizer for tuning PID controllers
Hybrid golden jackal and golden sine optimizer for tuning PID controllers Open
View article: Enhanced artificial ecosystem-based optimization for global optimization and constrained engineering problems
Enhanced artificial ecosystem-based optimization for global optimization and constrained engineering problems Open
Artificial ecosystem-based optimization (AEO) is a nature-inspired intelligent optimization algorithm that has been widely applied to various real-world optimization problems. However, AEO has several limitations, including slow convergenc…
View article: An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm
An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm Open
Deploying relay nodes is a significant mechanism to prolong the network lifetime of wireless sensor networks (WSNs). However, most existing studies overlook the energy consumption of relay nodes, leading to imperfections in the optimizatio…
View article: Duck swarm algorithm: theory, numerical optimization, and applications
Duck swarm algorithm: theory, numerical optimization, and applications Open
A swarm intelligence-based optimization algorithm, named Duck Swarm Algorithm (DSA), is proposed in this study. This algorithm is inspired by the searching for food sources and foraging behaviors of the duck swarm. The performance of the D…
View article: Joint Light-Sensitive Balanced Butterfly Optimizer for Solving the NLO and NCO Problems of WSN for Environmental Monitoring
Joint Light-Sensitive Balanced Butterfly Optimizer for Solving the NLO and NCO Problems of WSN for Environmental Monitoring Open
Existing swarm intelligence (SI) optimization algorithms applied to node localization optimization (NLO) and node coverage optimization (NCO) problems have low accuracy. In this study, a novel balanced butterfly optimizer (BBO) is proposed…
View article: HPSBA: A Modified Hybrid Framework with Convergence Analysis for Solving Wireless Sensor Network Coverage Optimization Problem
HPSBA: A Modified Hybrid Framework with Convergence Analysis for Solving Wireless Sensor Network Coverage Optimization Problem Open
Complex optimization (CO) problems have been solved using swarm intelligence (SI) methods. One of the CO problems is the Wireless Sensor Network (WSN) coverage optimization problem, which plays an important role in Internet of Things (IoT)…
View article: A Multimixed Strategy Improved Sparrow Search Algorithm and Its Application in TSP
A Multimixed Strategy Improved Sparrow Search Algorithm and Its Application in TSP Open
Aiming at the shortcomings of the sparrow search algorithm (SSA), such as falling into local optimum and slow convergence speed, an improved sparrow search algorithm based on multimixed strategy (MISSA) is proposed in this paper. In the in…
View article: An Adaptive Three-Dimensional Improved Virtual Force Coverage Algorithm for Nodes in WSN
An Adaptive Three-Dimensional Improved Virtual Force Coverage Algorithm for Nodes in WSN Open
The original virtual force algorithm (VFA) is proposed for the two-dimensional node coverage and localization of wireless sensor networks (WSN). This work proposes a novel three-dimensional improved virtual force coverage (3D-IVFC) algorit…
View article: Hybrid-Flash Butterfly Optimization Algorithm with Logistic Mapping for Solving the Engineering Constrained Optimization Problems
Hybrid-Flash Butterfly Optimization Algorithm with Logistic Mapping for Solving the Engineering Constrained Optimization Problems Open
Only the smell perception rule is considered in the butterfly optimization algorithm (BOA), which is prone to falling into a local optimum. Compared with the original BOA, an extra operator, i.e., color perception rule, is incorporated int…
View article: Duck swarm algorithm: theory, numerical optimization, and applications
Duck swarm algorithm: theory, numerical optimization, and applications Open
A swarm intelligence-based optimization algorithm, named Duck Swarm Algorithm (DSA), is proposed in this study, which is inspired by the searching for food sources and foraging behaviors of the duck swarm. Two rules are modeled from the fi…
View article: A Chaotic Hybrid Butterfly Optimization Algorithm with Particle Swarm Optimization for High-Dimensional Optimization Problems
A Chaotic Hybrid Butterfly Optimization Algorithm with Particle Swarm Optimization for High-Dimensional Optimization Problems Open
In order to solve the problem that the butterfly optimization algorithm (BOA) is prone to low accuracy and slow convergence, the trend of study is to hybridize two or more algorithms to obtain a superior solution in the field of optimizati…