Search Results - ((evolution computation) OR (solution population)) techniques
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Hybrid Harmony Search Algorithm Integrating Differential Evolution and Lévy Flight for Engineering Optimization
Published 2025“…This paper proposes HSA-DELF, a novel hybrid algorithm that combines differential evolution (DE) and Lévy flight (LF) techniques to enhance the performance of HSA. HSA-DELF leverages multi-mutation strategies of DE and LF random walk combined with weighted individuals to improve exploration and exploitation based on population fitness standard deviation comparison, and adopts pairwise iterative updates of the population to achieve faster convergence and higher solution quality. …”
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2
Hybrid harmony search algorithm integrating differential evolution and lévy flight for engineering optimization
Published 2025“…This paper proposes HSA-DELF, a novel hybrid algorithm that combines differential evolution (DE) and Lévy flight (LF) techniques to enhance the performance of HSA. HSA-DELF leverages multi-mutation strategies of DE and LF random walk combined with weighted individuals to improve exploration and exploitation based on population fitness standard deviation comparison, and adopts pairwise iterative updates of the population to achieve faster convergence and higher solution quality. …”
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3
Modification of species-based differential evolution for multimodal optimization
Published 2015“…Optimization problem is the problem of maximizing or minimizing a function of one variable or many variables, which include unimodal and multimodal functions. Differential Evolution (DE), is a random search technique using vectors as an alternative solution in the search for the optimum. …”
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Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Published 2018“…These fine-tuning techniques continue to be the object of ongoing research. …”
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Midrange exploration exploitation searching particle swarm optimization in dynamic environment
Published 2021“…The main objective of this improvement is to enhance the searching ability of poor particles in finding the best solution in dynamic problems. In MEESPSO, we still applied the basic process in conventional Particle Swarm Optimization such as initialization of particle location, population evolution, and updating particle location. …”
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Conference or Workshop Item -
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…These comparisons are conducted in terms of the solution precision, successful rate and robustness over thirty-three standard and transformed benchmark functions. …”
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7
Design of digital circuit structure based on evolutionary algorithm method
Published 2008“…This method is based on randomized search techniques mimicking natural genetic evolution. The proposed method is an iterative procedure that consists of a constant-size population of individuals, each one encoding a possible solution in a given problem space. …”
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
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9
Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Genetic Algorithm gives a pool of solutions rather than just one. The process of finding superior solutions mimics the evolution process, with solutions being combined or mutated to find out the pool of solutions. …”
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Monograph -
10
Overview of metaheuristic: classification of population and trajectory
Published 2010“…One of the classifications is population vs. trajectory. In this paper, several algorithm techniques based on population and trajectory characteristics are discussed. …”
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Monograph -
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Differential evolution technique of HEPWM for three-phase voltage source inverter
Published 2016“…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
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Coordination of PSS and PID controller for power system stability enhancement - overview
Published 2023“…Research showed the design of controllers based on conventional methods; soft computing and population based algorithms suffer from limitations. …”
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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Modeling 2D appearance evolution for 3D object categorization
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Proceeding Paper -
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HEAT EXCHANGER NETWORK SYNTHESIS AND OPTIMIZATION BY PINCH ANALYSIS AND DIFFERENTIAL EVOLUTION METHOD
Published 2016“…This metadology way uses an algorithm which combines Pinch Design Method and Differential Evolution Method. In this technique, the Heat Exchanger Network synthesis is carried out in three levels. …”
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16
Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization
Published 2024“…However, the current approach faces a significant hurdle due to the computational intensity of the process, particularly when employing complex optimization techniques like swarm intelligence optimization alongside a costly ATS repair operator. …”
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Computational intelligence based technique for solving economic dispatch problem / Nur Azzammudin Rahmat
Published 2016“…Therefore, this research proposes a new computational technique termed as Differential Evolution Immunized Ant Colony Optimization (DEIANT) as an approach to solve the complex economic dispatch process. …”
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Book Section -
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Major issues in the development of a Hacker's Code of Ethics / Ahmad Hafidz Baharom Alam Shah
Published 2005“…The first day, the computer was invented. The next day it was hacked. …”
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20
Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
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Proceeding Paper
