Search Results - (( solution population modified algorithm ) OR ( using optimization method algorithm ))
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1
Optimal power flow using the Jaya algorithm
Published 2016“…Unlike other population-based optimization methods, no algorithm-particular controlling parameters are required for this algorithm. …”
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2
An experimental study of modified black hole algorithms
Published 2018“…One of the meta-heuristic optimization methods is Black Hole (BH) algorithm, which is inspired by the black hole in cosmology. …”
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3
Application of swarm intelligence optimization on bio-process problems / Mohamad Zihin Mohd Zain
Published 2018“…This modified algorithm called Modified Multi-Objective Particle Swarm Optimization (M-MOPSO) employs a fixed-sized external archive along with a dynamic boundary-based search mechanism to evolve the population. …”
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4
Data Analysis using Particle Swarm Optimization Algorithm
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A Modified Particle Swarm Optimization for Efficient Maximum Power Point Tracking Under Partial Shading Condition
Published 2024“…Finally, a modified local search method using Perturb and Observe with adaptive step size method (P&O-ASM) is proposed to refine the near-optimal duty cycle and track GMPP with negligible oscillations. …”
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…The solution’s construction is modified using the concept of global best operator that is used in the Particle Swarm Optimization (PSO). …”
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7
Hybridization of modified sine cosine algorithm with tabu search for solving quadratic assignment problem
Published 2022“…Sine Cosine Algorithm (SCA) is a population-based metaheuristic method that widely used to solve various optimization problem due to its ability in stabilizing between exploration and exploitation. …”
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8
Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling
Published 2022“…The discrete MOPSO also includes the modified maximin fitness function to promote solution diversity in the selection of global best solutions. …”
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9
Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…Utilizing robust Runge-Kutta methods, the solver adeptly navigates the complexities of the ODE model, particularly useful when analytical solutions are challenging to obtain. …”
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10
Adapting And Hybridising Harmony Search With Metaheuristic Components For University Course Timetabling
Published 2010“…University Course Timetabling Problem (UCTP) is a hard combinatorial scheduling problem. Harmony Search Algorithm (HSA) is a recent metaheuristic population-based method. …”
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11
Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm
Published 2025“…In recent years, there has been increasing interest in intelligent optimization algorithms, such as the Whale Optimization Algorithm (WOA). …”
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12
Optimizing decentralized exam timetabling with a discrete whale optimization algorithm
Published 2025“…—In recent years, there has been increasing interest in intelligent optimization algorithms, such as the Whale Optimization Algorithm (WOA). …”
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13
Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm
Published 2009“…There is a heuristic algorithm to assign the AGVs to the operations. As the main findings, the performance of GA in simultaneous scheduling of AGVs and machines is enhanced by using proposed method, furthermore a new mutation operator has been proposed. …”
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14
Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction
Published 2019“…The resulting solutions from the MCSA are then used as the initial translation vectors for the WNNs. …”
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15
Accurate numerical treatment on a stochastic SIR epidemic model with optimal control strategy
Published 2022“…The analytic-numeric New Iterative Method failed to deliver accurate solution for the large time domain. A new reliable algorithm based on NIM, the coupling of the Laplace transforms, and the New Iterative method is called Modified New Iterative Method (MNIM) which is presented to enhance the validity domain of NIM techniques. …”
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16
New genetic operator for solving the travelling salesman problem / Fadzilawani Astifar Alias ... [et al.]
Published 2015“…In this research, the heuristic method called Genetic Algorithm (GA) is used to solve the TSP. …”
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17
Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows
Published 2022“…The Artificial Bee Colony (ABC) is a popular swarm intelligence algorithm for COP. In this study, existing Modified ABC (MABC) algorithm is revised to solve the VRPTW. …”
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18
Improved elitist genetic algorithm for reactive power planning in power system / Mohamad Fadhil Mohd Kamal
Published 2010“…The EGA ensures the quality of the solution never deteriorates as the generations progress since the fittest solution of the current population is duplicated in the subsequent generations. …”
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19
A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…This paper proposes a modified crow search algorithm with local search and niching technique. …”
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A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…This paper proposes a modified crow search algorithm with local search and niching technique. …”
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