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Particle swarm optimization service composition algorithm based on prior knowledge
In order to quickly find an appropriate composition of services that meet the individual user’s requirements in the Internet big data, this paper...
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Mathematical modelling and a discrete cuckoo search particle swarm optimization algorithm for mixed model sequencing problem with interval task times
This paper addresses a sequencing problem with uncertain task times in mixed model assembly lines. In this problem, task times are not known exactly...
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A modified particle swarm optimization algorithm in a rolling horizon framework for the aggregate production planning problem: pharmaceutical industry case
This paper proposes a modified particle swarm optimization algorithm in a rolling horizon framework to solve the aggregate production planning under...
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An Improved Quantum Inspired Particle Swarm Optimization for Forest Cover Prediction
Forest cover prediction plays a crucial role in assessing and managing natural resources, biodiversity, and environmental sustainability. Traditional...
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Analysis and improvement of the binary particle swarm optimization
Solving binary-real problems with bio-inspired algorithms is an active research matter. However, the efficiency of the employed algorithm varies...
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Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm
Computer resources provision over the internet resulted in the wide spread usage of cloud computing paradigm. With the use of such resources come...
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Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem
Given the increasing severity of ecological issues, sustainable development and green manufacturing have emerged as crucial areas of research and...
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Quadratic approximation salp swarm algorithm for function optimization
The Salp Swarm Algorithm (SSA) is a peculiar swarm-based algorithm that is extensively used for solving numerous real-world problems due to its...
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An improved tuna swarm optimization algorithm based on behavior evaluation for wireless sensor network coverage optimization
Tuna swarm optimization algorithm (TSO) is an innovative swarm intelligence algorithm that possesses the advantages of having a small number of...
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Data dissemination protocol for VANETs to optimize the routing path using hybrid particle swarm optimization with sequential variable neighbourhood search
A vehicular Ad-Hoc Network (VANET) is a form of Mobile Ad-Hoc Network (MANET) which employs wireless routers that are inside every vehicle to operate...
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A financial trading system with optimized indicator setting, trading rule definition, and signal aggregation through Particle Swarm Optimization
Algorithmic trading, a widespread practice in the financial industry, is based on the automatic signal generation based on trading rules of one or...
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An energy efficient clustering with enhanced chicken swarm optimization algorithm with adaptive position routing protocol in mobile adhoc network
In mobile ad hoc networks (MANETs), when nodes sporadically visit every path, limiting battery life and leading to frequent topology changes,...
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A simplified swarm optimization algorithm to minimize makespan on non-identical parallel machines with unequal job release times under non-renewable resource constraints
This article studies a uniform parallel machine scheduling problem with unequal job release times. It is assumed that each machine consumes a certain...
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In search of the best multi-criteria decision making-particle swarm optimization-based hybrid approach for parametric optimization of friction stir welding processes
Although primarily developed for aluminium alloys, friction stir welding (FSW) has nowadays emerged out as a ‘green’ effective joining process for...
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A depth-based heuristic to solve the multi-objective influence spread problem using particle swarm optimization
The influence spread in a social network is an iterative process that can take several steps. It begins with an activation seed and finishes when the...
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A constrained swarm optimization algorithm for large-scale long-run investments using Sharpe ratio-based performance measures
We study large-scale portfolio optimization problems in which the aim is to maximize a multi-moment performance measure extending the Sharpe ratio....
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Hybrid Load Balancing Technique for Cloud Environment Using Swarm Optimization
One of the most challenging aspects of cloud computing is task scheduling. User needs are changing rapidly in a dynamic environment, and the...
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Prediction of Downward Surface Solar Radiation Using Particle Swarm Optimization and Neural Networks
Concerning the impacts of climate change, renewable energy systems are becoming more prominent by providing more environmentally friendly energy....
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An improved DV-Hop algorithm based on PSO and Modified DE algorithm
Wireless sensor networks (WSN) have been used in many fields, and the localization technology is one of the core technologies of WSN. Distance...
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Swarm intelligence-based framework for accelerated and optimized assembly line design in the automotive industry
This study proposes a dynamic simulation-based framework that utilizes swarm intelligence algorithms to optimize the design of hybrid assembly lines...
