Search Results - (( java implication based algorithm ) OR ( exchange optimization based algorithm ))
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A swarm intelligent approach for multi-objective optimization of compact heat exchangers
Published 2023Article -
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Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems
Published 2015“…The complicated task of design optimization of compact heat exchangers (CHEs) have been effectively performed by using evolutionary algorithms (EAs) in the recent years. …”
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Integration of zero and sequential algorithm in shuffle exchange with Minus One Stage
Published 2013“…This paper focused on comparing the algorithm based on shuffle exchange network connection to achieve the optimal routing time as well as the number of passes to route in a given permutation. …”
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Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique
Published 2006“…These agents work cooperatively with each other through the Internet using message exchanging.An improved algorithm was implemented to decrease the amount of message exchanging between agents, which increased the performance of the system.…”
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Determination Of Heat Transfer Coefficients In Heat Exchangers By Genetic Algorithm
Published 2010“…In this study, the scope is limited to Nusselt Number correlations in the plain tube concentric heat exchanger and brazed plate heat exchanger. However, the method has general applicability for other types of heat exchangers. …”
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Modelling and control of heat exchanger by using bio-inspired algorithm
Published 2014“…Based on the previous study referred, the same data of heat exchanger had been used but different types of model were used to find the structural model of heat exchanger. …”
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Performance Analyses of Nature-inspired Algorithms on the Traveling Salesman’s Problems for Strategic Management
Published 2017“…After critical assessments of the performances of eleven algorithms consisting of two heuristics (Randomized Insertion Algorithm and the Honey Bee Mating Optimization for the Travelling Salesman’s Problem), two trajectory algorithms (Simulated Annealing and Evolutionary Simulated Annealing) and seven population-based optimization algorithms (Genetic Algorithm, Artificial Bee Colony, African Buffalo Optimization, Bat Algorithm, Particle Swarm Optimization, Ant Colony Optimization and Firefly Algorithm) in solving the 60 popular and complex benchmark symmetric Travelling Salesman’s optimization problems out of the total 118 as well as all the 18 asymmetric Travelling Salesman’s Problems test cases available in TSPLIB91. …”
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Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
Published 2014“…This paper presents a performance evaluation of Vector Evaluated Gravitational Search Algorithm (VEGSA), namely VEGSA-I and VEGSA-II algorithms, for multi-objective optimization problems. …”
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Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems
Published 2012“…This paper presents a novel algorithm, which is based on Gravitational Search Algorithm (GSA), for multiobjective optimization problems. …”
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Dynamic modelling of proton exchange membrane fuel cell system for electric bicycle / Azadeh Kheirandish
Published 2016“…Classical linear regression and artificial neural networks as the most popular and accurate algorithms have been optimized and used for modeling this system. …”
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Loss reduction in distribution networks using new network reconfiguration algorithm
Published 1996“…The solution employs a search over different radial configurations, created by considering branch exchange type switches. The solution algorithm for loss minimization has been developed based on the two stage solution methodology. …”
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Grey Wolf optimization based power management strategy for battery storage of dfig-wecs in standalone operating mode
Published 2023Conference Paper -
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An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…Widespread models like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Evolutionary Strategy (ES) and Population-Based Incremental Learning (PBIL) dealing with the specified problems are also explored and compared. …”
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Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm
Published 2025“…This strategy, which is based on the improved pelican optimization algorithm (IPOA), involves the development of a multi-objective optimization (MOA) equation with several constraints, while taking into account the Malaysian grid purchasing and selling prices. …”
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Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network
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Battery energy storage system sizing using PSO algorithm in DIgSILENT powerfactory
Published 2022“…This paper aims to establish a simulation-based optimization in DIgSILENT Programming Language (DPL) script in DIgSILENT PowerFactory environment, which is more efficient for data exchange between operations. …”
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Optimal geometric arrangement of unfinned and finned flat tube heat exchangers under laminar forced convection
Published 2014“…The predictive correlations developed in this study for in-line and staggered configurations can predict the heat transfer rate and power pumping of both un-finned and finned flat tube heat exchangers, which can be applied to the design of future heat exchangers in the industry.…”
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