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CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…In this research work, a modified backpropagation neural network is combined with a modified chaos-search genetic algorithm for STLF of one day and a week ahead. …”
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Adaptive hybrid fuzzy-proportional plus crisp-integral current control algorithm for shunt active power filter operation
Published 2016“…The gain value is modified and controlled using the Fuzzy-P current controller’s output variable. …”
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A variable-capacity-based fuzzy random facility location problem with VaR objective
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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Optimizing n-1 contingency rankings using a nature-inspired modified sine cosine algorithm
Published 2025“…A novel approach utilizing the Modified Sine Cosine Algorithm (MSCA), a nature-inspired metaheuristic optimization technique, is proposed to resolve (N-1) contingency rankings efficiently. …”
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Message based random variable length key encryption algorithm.
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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Solving the optimal power flow problems using the superiority of feasible solutions-moth flame optimizer
Published 2024“…Simulation results on IEEE-30, 57, and 118 bus systems show that SFMFO achieves energy generation costs of $894.3432, $23,466.41, and $137,094.80 per hour, respectively, representing a reduction of 1.34% to 1.65% compared to other algorithms. Additionally, testing on a modified IEEE 30-bus system for FACTS device allocation demonstrated the algorithm's effectiveness. …”
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Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach
Published 2025“…Employing both single- and multi-objective optimization algorithms, the research addresses the OPF problem in a modified IEEE-30 bus system through various case studies. …”
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Optimizing decentralized exam timetabling with a discrete whale optimization algorithm
Published 2025“…Then, several search methods were employed for comparison during the improvement phase, including three Variable Neighborhood Descent (VND) variations and two modified WOA algorithms employing five distinct neighborhoods. …”
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Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm
Published 2025“…Then, several search methods were employed for comparison during the improvement phase, including three Variable Neighborhood Descent (VND) variations and two modified WOA algorithms employing five distinct neighborhoods. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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A hybrid prediction model for short-term load forecasting in power systems
Published 2024“…Using a dataset with four independent variables as input and electrical power output as the target variable, the model demonstrates superior predictive performance. …”
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Design and evaluation on adaptive fuzzy speed control of mobile robot
Published 2011“…Performance comparison between the fuzzy PI controller and adaptive fuzzy controllers are made in terms of several performance criteria including rise time, settling time, peak time, peak overshoot, integral absolute error (IAE) and integral time weighted absolute error (ITAE). …”
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Development of a new approach for deterministic supply chain network design
Published 2008“…The open-or-close decisions for the facilities are binary decision variables and the production and transportation flow decisions are continuous decision variables. …”
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