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  • Search: subject:"Repulsive particle swarm method"
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Subject
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Gielis super-formula 2 Repulsive Particle Swarm method of Global optimization 2 empirical 2 estimation 2 fit 2 global 2 local optima 2 nonlinear programming 2 supershapes 2 Bird function 1 Bounded rationality 1 Carrom table function 1 Cross function 1 Cross in tray function 1 Cross-legged table function 1 Crowned cross function 1 Decentralized decision making 1 Elliptic functions 1 Global optimization 1 Holder table function 1 Jacobian 1 Jacobian Elliptic functions 1 Least squares multimodal nonlinear curve-fitting 1 New test functions 1 Particle Swarm method 1 Pen-holder function 1 Repulsive particle swarm method 1 Ricardo Chacón 1 Test-tube holder function 1 Weierstrass 1 cellular automata 1 curve fitting 1 data 1 fractals 1 multiple sub-optima 1 multiple sub-optimum 1 parameters 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Language
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Undetermined 3
Author
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Mishra, SK 2 Mishra, Sudhanshu 1
Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 3
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MPRA Paper 3
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RePEc 3
Showing 1 - 3 of 3
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Least Squares Fitting of Chacón-Gielis Curves by the Particle Swarm Method of Optimization
Mishra, SK - Volkswirtschaftliche Fakultät, … - 2006
Ricardo Chacón generalized Johan Gielis's superformula by introducing elliptic functions in place of trigonometric functions. In this paper an attempt has been made to fit the Chacón-Gielis curves (modified by various functions) to simulated data by the least squares principle. Estimation has...
Persistent link: https://www.econbiz.de/10005621577
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Global Optimization by Particle Swarm Method:A Fortran Program
Mishra, SK - Volkswirtschaftliche Fakultät, … - 2006
global optimum by the Repulsive Particle Swarm method. The program has been tested on over 90 benchmark functions of varied …
Persistent link: https://www.econbiz.de/10005626839
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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 functions have been selected partly because several of them are aesthetically appealing and partly because a few of them are really difficult to optimize, while all the functions...
Persistent link: https://www.econbiz.de/10005789761
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