[PDF] Top 20 A Robust Archived Differential Evolution Algorithm for Global Optimization Problems
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A Robust Archived Differential Evolution Algorithm for Global Optimization Problems
... constrained optimization into several categories by the way the constraints are treated: (1) Constraints are only used to see whether a search point is feasible or not; (2) The constraint violation, which is the ... See full document
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A Novel Differential Evolution with Uniform Design for Continuous Global Optimization
... distribution algorithm (MUEDA) and a modified DE (MDE) to form a new algorithm, named ...colony optimization(ACO) with a differential evolution method (MACO) for chaotic ...local ... See full document
8
An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization
... of optimization result, the exploration property is important in the early stage of optimization process and the exploitation property is significant in the late stage of optimization process ... See full document
7
Minimization of Real Power loss using Evolutionary Algorithm
... these problems, a Flexible Alternating Current Transmission System (FACTS) devices are installed at appropriate location to get the maximum possible benefits ...evolutionary optimization techniques have ... See full document
8
Differential Evolution Using Opposite Point for Global Numerical Optimization
... The Differential Evolution (DE) algorithm is arguably one of the most powerful stochastic optimization algorithms, which has been widely applied in various ...fields. Global numerical ... See full document
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DEoptim: An R Package for Global Optimization by Differential Evolution
... genetic algorithm is one such method, and was invented by John Holland in the 1960s (Holland ...for global optimization, in particular for combinatorial optimization ...problems. ... See full document
29
An Improved Differential Evolution Algorithm for Economic Load Dispatch Optimization of Power Systems
... Differential Evolution (DE) is a meta-heuristic algorithm for global optimization introduced by Price and Storn ...DE algorithm has gradually become more popular and has been ... See full document
14
A Image Segmentation Algorithm Based on Differential Evolution Particle Swarm Optimization Fuzzy C-Means Clustering
... introducing differential evolution and particle swarm ...the algorithm in this paper can effectively find the global optimum, and avoid error split, and get more stable and better segmentation ... See full document
22
Grammatical Differential Evolution Adaptable Particle Swarm Optimization Algorithm
... different global optimization problems, including 4 uni-modal functions (f1-f4) and 4 multi- modal functions (f5-f8) in this experimental ...their global optima are given in Table 1, where D ... See full document
6
Optimization of Antenna Configuration with a Fitness-Adaptive Differential Evolution Algorithm
... proposed algorithm FiADE has produced better results for all the problems in the electromagnetic test-suite compared to all of its competitors and it has done so consuming lesser number of fitness function ... See full document
29
An Adaptive Differential Evolution Algorithm to Solve Constrained Optimization Problems in Engineering Design
... Differential evolution (DE) algorithm has been shown to be a simple and efficient evolutionary algorithm for global optimization over continuous spaces, and has been widely used ... See full document
13
Social media and efficient computer infrastructure in smart city
... Social media is a new information channel between residents and departments of hall office about the current situation. Citizens can receive knowledge about the city, and they can communicate about each other. In ... See full document
10
A Hybrid TS-DE Algorithm for Reliability Redundancy Optimization Problem
... swarm optimization (PSO) approach named PESDRO to solve a bi-objective redundant reliability problem; And the reliability redundant problems of series system, parallel system and K-out-of-N system are ... See full document
8
Quantum Inspired Differential Evolution Algorithm
... swarm optimization, the basic theory and the applied research are ...swarm algorithm [14]. The core problem of quantum-inspired genetic algorithm is how to design the coding scheme and the ... See full document
9
A Novel Adaptive Dragonfly Algorithm for Global Optimization Problems
... Dragonfly Algorithm proposed by Seyedali Mirjalili, inspired from natural swarming behavior of Dragonflies which makes small group and fly different direction covers vast area in search of food technically term in ... See full document
13
Optimization of Wireless Sensor Networks Based on Differential Evolution Algorithm
... In order to simplify the complexity of WSN and without losing the effectiveness of the algorithm, a cluster can be regarded as a rectangular area in the two-dimensional plane space. The size of the region, the ... See full document
13
An inflationary differential evolution algorithm for space trajectory optimization
... a global optimization point of ...the global optimum, it is interesting to analyze the behavior of the same set of global optimization algorithms applied to two different transcriptions ... See full document
32
Sensor Distribution Optimization Based on Heuristic Algorithms for Structural Health Monitoring
... heuristic algorithm that was derived from the simulation of mountain-climbing processes of ...the algorithm, while the somersault process is employed to make the monkeys transfer to other search domains ... See full document
6
TEXTURE PATTERN IN ABNORMAL MAMMOGRAMS CLASSIFICATION USING SUPERVISED MACHINE LEARNING TECHNIQUES
... The optimization results can change the value of PSS and CES parameters which can also cause oscillation on the ...The optimization results show that this method is effective enough to damp the oscillation, ... See full document
9
A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization Pages 323-338 Download PDF
... each algorithm and each test function, 25 independent runs were conducted with 200000 function evaluations (FES) for function (F1 to F13) and 10000 function evaluations (FES) for function (F14 to F21) as the ... See full document
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