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Process Synthesis and Design Problems Based on a Global Particle Swarm Optimization Algorithm
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Monarch butterfly optimization
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Particle swarm optimization
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A modelling and decomposition strategy for the minlp optimization of process flowsheets
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An adaptive differential evolutionary algorithm incorporating multiple mutation strategies for the economic load dispatch problem
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Optimization of process synthesis and design problems: A modified differential evolution approach
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A multi-compartment vehicle routing problem with time windows for urban distribution – A comparison study on particle swarm optimization algorithms
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Solving the dynamic economic dispatch by a memory-based global differential evolution and a repair technique of constraint handling
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An efficient fitness-based differential evolution algorithm and a constraint handling technique for dynamic economic emission dispatch
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An efficient particle swarm optimization technique with chaotic sequence for optimal tuning and placement of PSS in power systems
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Chaotic Krill Herd algorithm
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Multi-agent hybrid particle swarm optimization (MAHPSO) for wastewater treatment network planning
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Multi-objective particle swarm optimization for multi-workshop facility layout problem
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Mutation based self regulating and self perception particle swarm optimization for efficient object tracking in a video
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Application of fuzzy modelling and Particle Swarm Optimization to enhance lipid extraction from microalgae
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Particle swarm optimization of deep neural networks architectures for image classification
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Evolutionary algorithms approach to the solution of mixed integer non-linear programming problems
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A simulated annealing approach to the solution of minlp problems
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Efficient handling of the implicit constraints problem for the ASPEN MINLP synthesizer
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Relaxation strategy for the structural optimization of process flow sheets
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Global optimization of nonconvex mixed-integer nonlinear programming (MINLP) problems in process synthesis
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Bare Bones Particle Swarm Optimization with Gaussian or Cauchy jumps
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Improving Metaheuristic Algorithms With Information Feedback Models
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Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Bare-Bones Particle Swarm Optimization With Crossed Memory for Global Optimization
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Optimal Dispatch Model of Active Distribution Network Based on Particle Swarm optimization Algorithm with Random Weight
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ANALYSIS OF IMPLEMENTATION OF PARTICLE SWARM OPTIMIZATION (PSO) METHOD ON LECTURERS ASSIGNMENTS TO STUDENTS
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Implementation of Particle Swarm Optimization Algorithm to reduce the Peak-to-Average Power Ratio in OFDM systems
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