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Year of publication
Subject
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Differential Evolution 3 Global optimization 3 test functions 3 Repulsive particle swarm 2 benchmark 2 local optima 2 : Global optimization 1 Ant Colony algorithm 1 Automatic Voltage Regulator 1 Barter method 1 Benchmark 1 Bird function 1 Box algorithm 1 Bukin 1 Carrom table function 1 Clustering algorithm 1 Cross function 1 Cross in tray function 1 Cross-legged table function 1 Crossover 1 Crowned cross function 1 DCS 1 Differential evolution 1 Diffusion limit 1 FORTRAN computer program 1 Fletcher Powell 1 Fortran 1 Fractional diffusion 1 Genetic algorithm 1 Giunta 1 Holder table function 1 Hougen 1 Kinetic equations 1 Kowalik 1 Law invariant risk measures 1 Measurement 1 Messung 1 Model risk 1 Monte Carlo method 1 Nelder-Mead 1
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Online availability
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Free 5 Undetermined 2 CC license 1
Type of publication
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Book / Working Paper 4 Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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Undetermined 5 English 2
Author
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Mishra, SK 3 Akbari, Ebrahim 1 De Moor, Sylvain 1 Frittelli, Marco 1 Gadsden, S. Andrew 1 Ghasemi, Mojtaba 1 Gil, Milad 1 Maggis, Marco 1 Mishra, Sudhanshu 1 Rahimnejad, Abolfazl 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 4
Published in...
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MPRA Paper 4 Decision analytics journal 1 Mathematics and financial economics 1 Stochastic Processes and their Applications 1
Source
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RePEc 5 ECONIS (ZBW) 2
Showing 1 - 7 of 7
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A self-competitive mutation strategy for Differential Evolution algorithms with applications to Proportional-Integral-Derivative controllers and Automatic Voltage Regulator systems
Ghasemi, Mojtaba; Rahimnejad, Abolfazl; Gil, Milad; … - In: Decision analytics journal 7 (2023), pp. 1-18
The Differential Evolution (DE) algorithm is a powerful and simple optimizer for solving various optimization problems. Based on the literature, DE has shown suitable performance in exploring search spaces and locating global optimums. However, it is typically slow in extracting the problem...
Persistent link: https://www.econbiz.de/10014433898
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Disentangling price, risk and model risk : V&R measures
Frittelli, Marco; Maggis, Marco - In: Mathematics and financial economics 12 (2018) 2, pp. 219-247
Persistent link: https://www.econbiz.de/10011963851
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Fractional diffusion limit for a stochastic kinetic equation
De Moor, Sylvain - In: Stochastic Processes and their Applications 124 (2014) 3, pp. 1335-1367
smooth random term. Generalizing the method of perturbed test functions, under an appropriate scaling for the small parameter …
Persistent link: https://www.econbiz.de/10010875080
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The Barter Method: A New Heuristic for Global Optimization and its Comparison with the Particle Swarm and the Differential Evolution Methods
Mishra, SK - Volkswirtschaftliche Fakultät, … - 2006
one individual would reach the global optimum. We have uses 75 test functions. The DE succeeds in 70 cases, the RPS …
Persistent link: https://www.econbiz.de/10005616773
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Some new test functions for global optimization and performance of repulsive particle swarm method
Mishra, Sudhanshu - Volkswirtschaftliche Fakultät, … - 2006
In this paper we introduce some new test functions to assess the performance of global optimization methods. These …-legged table' functions all other new test functions are optimized by the RPS program.The program has also been tested with success …
Persistent link: https://www.econbiz.de/10005789761
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Performance of Differential Evolution and Particle Swarm Methods on Some Relatively Harder Multi-modal Benchmark Functions
Mishra, SK - Volkswirtschaftliche Fakultät, … - 2006
Swarm (RPS) methods of global optimization. To this end, some relatively difficult test functions have been chosen. These …
Persistent link: https://www.econbiz.de/10005835442
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Global Optimization by Differential Evolution and Particle Swarm Methods: Evaluation on Some Benchmark Functions
Mishra, SK - Volkswirtschaftliche Fakultät, … - 2006
) methods of global optimization. To this end, seventy test functions have been chosen. Among these test functions, some are new … convergence of RPS is much slower even for lesser stringency on accuracy. Some test functions have been hard for both the methods …
Persistent link: https://www.econbiz.de/10005835615
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