Details Details PDF BIBTEX RIS Title A hybrid PSO approach for solving non-convex optimization problems Journal title Archives of Control Sciences Yearbook 2012 Issue No 1 Authors Ganesan, Timothy ; Vasant, Pandian ; Elamvazuthy, Irraivan Divisions of PAS Nauki Techniczne Publisher Committee of Automatic Control and Robotics PAS Date 2012 Identifier DOI: 10.2478/v10170-011-0014-2 ; ISSN 1230-2384 Source Archives of Control Sciences; 2012; No 1 References Outrata J. (1998), Nonsmooth approach to optimization problems with equilibrium constraints. Nonconvex optimization and its applications. ; Bertsekas D. (1999), Nonlinear programming. ; Chen Y. (1995), The nonlinear bilevel programming problem: Formulations, regularity and optimality conditions, Optimization, 32, 193, doi.org/10.1080/02331939508844048 ; Holland J. (1992), Control and Artificial Intelligence. ; Koza J. (1992), Genetic programming: On the programming of computers by means of natural selection. ; Kennedy J. (1995), R. Eberhart: Particle swarm optimization, null. ; Phuangpornpitak N. (2010), A study of particle swarm technique for renewable energy power systems, null, 1. ; V.N. Dieu and W. Ongsakul: Economic dispatch with emission and transmission constraints by augmented Lagrange Hopfield network. <i>Trans. in Power System Optimization (GJTO)</i> <a target="_blank" href='http://www.pcoglobal.com/gjto.htm'>www.pcoglobal.com/gjto.htm</a> ; Dieu V. (2006), Enhanced merit order and augmented Lagrange Hopfield network for ramp rate constrained unit commitment, null. ; Huang Y. (2007), Improved Lagrange nonlinear programming neural networks for inequality constraints, null. ; Kuhn H. (1951), Nonlinear programming, null, 481. ; Binmore K. (2007), Calculus concepts and methods. ; Sandgren E. (1990), Nonlinear integer and discrete programming in mechanical design optimization, J. of Mechanical Deigns - T. ASME, 112, 2, 223, doi.org/10.1115/1.2912596 ; A. Belegundu: A study of mathematical programming methods for structural optimization. PhD thesis, Department of Civil Environmental Engineering, University of Iowa, Iowa, 1982. ; Coello C. (2008), Solving engineering optimization problems with simple constrained particle swarm optimizer, Informatica, 32, 319. ; Shi Y. (1998), A modified particle swarm optimizer, null, 69. ; F. van Den Bergh: An analysis of particle swarm optimizers. PhD thesis, University of Pretoria, 2001. ; Zitzler E. (2004), Metaheuristics for Multiobjective Optimisation, Lecture Notes in Economics and Mathematical Systems. ; Rose H. (2002), Linear algebra. A pure mathematical approach, 57. ; Glover F. (1989), Tabu search, Part I, ORSA J. on Computing, 1, 3, 190, doi.org/10.1287/ijoc.1.3.190 ; Bland J. (1991), Tabu search and design optimization, Computer - aided design, 23, 3, 195, doi.org/10.1016/0010-4485(91)90089-F ; Thesen A. (1998), Design and evaluation of tabu search algorithms for Mmultiprocessor scheuling, J. of Hueristics, 4, 141, doi.org/10.1023/A:1009625629722