Search Results - (( java implementation barriers algorithm ) OR ( storage optimization function algorithm ))
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1
Backtracking Search Algorithm Based Fuzzy Charging-Discharging Controller for Battery Storage System in Microgrid Applications
Published 2023“…Battery management systems; Charging (batteries); Controllers; Fuzzy logic; Fuzzy sets; Learning algorithms; Loading; Membership functions; Optimization; Particle swarm optimization (PSO); Secondary batteries; Backtracking search algorithms; Battery energy storage; Battery energy storage systems; Fuzzy controllers; Fuzzy logic control system; Fuzzy membership function; Micro grid; State of charge; Battery storage…”
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2
Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals
Published 2012“…Therefore, two meta-heuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA) algorithm, were developed to optimize the integrated scheduling of handling equipment. …”
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3
Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…The cost-benefit function as a target function has been maximized using the Genetic Algorithm. …”
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4
Investigating dam reservoir operation optimization using metaheuristic algorithms
Published 2023Article -
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Analysis and modeling of database storage optimization power consumption usage for green data centers
Published 2014“…This technique requires proxy candidate in order to drop some attribute for decrease the space storage. The proxies can be discovered by using a developed algorithm of functional dependencies (FDs) called as TANE algorithm. …”
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6
Genetic Algorithm based Fuzzy Logic Controller for Optimal Charging-Discharging of Energy Storage in Microgrid applications
Published 2023“…Battery management systems; Charging (batteries); Computer circuits; Energy storage; Fuzzy logic; Genetic algorithms; Membership functions; Microgrids; Particle swarm optimization (PSO); Secondary batteries; Water treatment; Battery state of charge; Charging/discharging; Fuzzy logic controllers; Microgrid; Optimal charging; Power; Renewable technology; States of charges; Storage systems; Swarm optimization; Controllers…”
Conference Paper -
7
Optimal planning of energy storage system for hybrid power system considering multi correlated input stochastic variables
Published 2025“…This optimization problem is solved by the hybrid non-dominated sorting genetic algorithm (NSGAII) and the multi-objective particle swarm optimization (MOPSO). …”
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…In the sizing of the SAPV system, the mutation adaptive DE (MADE) algorithm based multi-objective functions minimizes three constraint objective functions. …”
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9
Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…The cost-benefit function as a target function has been maximized using the Genetic Algorithm. …”
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10
Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…The cost-benefit function as a target function has been maximized using the Genetic Algorithm. …”
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11
Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries
Published 2016“…The adjacency matrix is the naive storage structure of the algorithm. This storage structure has limited the use of the algorithm as it expands large storage space. …”
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Conference or Workshop Item -
12
Storage Space Optimisation for Green Data Center
Published 2013“…In this paper, a model to optimize database storage space by mining functional dependencies that are present among data sets is proposed. …”
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Hybrid conjugate gradient methods using strong Wolfe line search for Whale Optimization Algorithm / Wan Nur Athirah Wan Mohd Zakirudin
Published 2023“…Lastly, the implementation of LAMR-HS in the Whale Optimization Algorithm (WOA) aims to enhance the convergence speed, ultimately demonstrating the successful hybridization between the two algorithms.…”
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14
Optimal battery energy storage system placement using whale optimization algorithm
Published 2023“…This paper proposes a technique to attain the optimal location of battery energy storage system (BESS) where the optimal solution is decided by using whale optimization algorithm (WOA). …”
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Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues
Published 2023“…Electric batteries; Fossil fuels; Global warming; Photovoltaic cells; Population statistics; Wind power; Battery energy storage systems; Carbon emissions; Constraint; Fossil fuel burning; Objective functions; Optimization algorithms; Rapid growth; Review of technologies; Sizing; Technology optimization; Optimization…”
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16
Normalized Relational Storage for Extensible Markup Language (XML) Schema
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Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…Besides, an optimization algorithm with high efficiency is important to ensure the attainment of optimal solutions, where the optimization algorithms like genetic algorithm and particle swarm optimization are known to have high possibility of being trapped in local optimal points. …”
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Long-term optimal planning for renewable based distributed generators and battery energy storage systems toward enhancement of green energy penetration
Published 2025“…The backward reduction method (BRM) is then applied to streamline the number of generated scenarios, reducing computational efforts. To solve the optimization planning model, a hybrid optimization algorithm is proposed, combining the non-dominating sorting genetic algorithm (NSGAII) and multi-objective particle swarm optimization (MOPSO). …”
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Real-time Cascading Reservoirs Operation using the Genetic Algorithm and Seasonally Varied Models
Published 2013“…The fitness function of the genetic algorithm model (GAM) was to minimize the difference between the potential capacity and actual generation of the scheme. …”
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Thesis -
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