Hybrid optimization with improved tabu search

[1]  Mehmet A. Orgun,et al.  Solving Fuzzy Linear Regression with Hybrid Optimization , 2009, ICONIP.

[2]  Suh-Wen Chiou,et al.  Optimization for signal setting problems using non-smooth techniques , 2009, Inf. Sci..

[3]  Erwie Zahara,et al.  Hybrid Nelder-Mead simplex search and particle swarm optimization for constrained engineering design problems , 2009, Expert Syst. Appl..

[4]  Ioannis G. Tsoulos,et al.  Modifications of real code genetic algorithm for global optimization , 2008, Appl. Math. Comput..

[5]  L. Coelho A quantum particle swarm optimizer with chaotic mutation operator , 2008 .

[6]  M. Hadi Mashinchi,et al.  Tabu Search Solution for Fuzzy Linear Programming , 2008, Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008).

[7]  Patrick Siarry,et al.  A new charged ant colony algorithm for continuous dynamic optimization , 2008, Appl. Math. Comput..

[8]  P. John Clarkson,et al.  The development of a multi-objective Tabu Search algorithm for continuous optimisation problems , 2008, Eur. J. Oper. Res..

[9]  M. M. Ali,et al.  Improved particle swarm algorithms for global optimization , 2008, Appl. Math. Comput..

[10]  Erwie Zahara,et al.  A hybrid genetic algorithm and particle swarm optimization for multimodal functions , 2008, Appl. Soft Comput..

[11]  Robert Müller,et al.  Conformational analysis of arginine in gas phase—A strategy for scanning the potential energy surface effectively , 2008, J. Comput. Chem..

[12]  Shu-Kai S. Fan,et al.  A hybrid simplex search and particle swarm optimization for unconstrained optimization , 2007, Eur. J. Oper. Res..

[13]  Dong Hwa Kim,et al.  A hybrid genetic algorithm and bacterial foraging approach for global optimization , 2007, Inf. Sci..

[14]  M. Fesanghary,et al.  An improved harmony search algorithm for solving optimization problems , 2007, Appl. Math. Comput..

[15]  Patrick Siarry,et al.  Particle swarm and ant colony algorithms hybridized for improved continuous optimization , 2007, Appl. Math. Comput..

[16]  Johann Dréo,et al.  Hybrid Continuous Interacting Ant Colony aimed at Enhanced Global Optimization , 2007, Algorithmic Oper. Res..

[17]  Ling Wang,et al.  An effective co-evolutionary particle swarm optimization for constrained engineering design problems , 2007, Eng. Appl. Artif. Intell..

[18]  Andy M. Connor,et al.  Memory Models for Improving Tabu Search with Real Continuous Variables , 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

[19]  Johann Dréo,et al.  An ant colony algorithm aimed at dynamic continuous optimization , 2006, Appl. Math. Comput..

[20]  Mirjana Cangalovic,et al.  General variable neighborhood search for the continuous optimization , 2006, Eur. J. Oper. Res..

[21]  Masao Fukushima,et al.  Tabu Search directed by direct search methods for nonlinear global optimization , 2006, Eur. J. Oper. Res..

[22]  Kaisa Miettinen,et al.  Efficient hybrid methods for global continuous optimization based on simulated annealing , 2006, Comput. Oper. Res..

[23]  K. Lee,et al.  A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice , 2005 .

[24]  L. Castro,et al.  An artificial immune network for multimodal function optimization on dynamic environments , 2005, GECCO '05.

[25]  Patrick Siarry,et al.  A hybrid method combining continuous tabu search and Nelder-Mead simplex algorithms for the global optimization of multiminima functions , 2005, Eur. J. Oper. Res..

[26]  Ping Shum,et al.  A Staged Continuous Tabu Search Algorithm for the Global Optimization and its Applications to the Design of Fiber Bragg Gratings , 2005, Comput. Optim. Appl..

[27]  Huanwen Tang,et al.  Global optimizations and tabu search based on memory , 2004, Appl. Math. Comput..

[28]  J. Dréo,et al.  Continuous interacting ant colony algorithm based on dense heterarchy , 2004, Future Gener. Comput. Syst..

[29]  Patrick Siarry,et al.  Genetic and Nelder-Mead algorithms hybridized for a more accurate global optimization of continuous multiminima functions , 2003, Eur. J. Oper. Res..

[30]  El-Ghazali Talbi,et al.  A Taxonomy of Hybrid Metaheuristics , 2002, J. Heuristics.

[31]  Shiyou Yang,et al.  An improved Tabu search for the global optimizations of electromagnetic devices , 2001 .

[32]  S. Ho,et al.  A common Tabu search algorithm for the global optimization of engineering problems , 2001 .

[33]  Patrick Siarry,et al.  Tabu Search applied to global optimization , 2000, Eur. J. Oper. Res..

[34]  Carlos A. Coello Coello,et al.  Use of a self-adaptive penalty approach for engineering optimization problems , 2000 .

[35]  M. Cangalovic,et al.  TABU search methodology in global optimization , 1999 .

[36]  D. Tilley,et al.  A Tabu search method for the optimization of fluid power circuits , 1998, 1605.05097.

[37]  P. Siarry,et al.  FITTING OF TABU SEARCH TO OPTIMIZE FUNCTIONS OF CONTINUOUS VARIABLES , 1997 .

[38]  S. N. Kramer,et al.  An Augmented Lagrange Multiplier Based Method for Mixed Integer Discrete Continuous Optimization and Its Applications to Mechanical Design , 1994 .

[39]  Marius Sinclair,et al.  Comparison of the performance of modern heuristics for combinatorial optimization on real data , 1993, Comput. Oper. Res..

[40]  N. Hu Tabu search method with random moves for globally optimal design , 1992 .

[41]  J. A. Bland,et al.  Tabu search and design optimization , 1991, Comput. Aided Des..

[42]  Fred Glover,et al.  Tabu Search - Part II , 1989, INFORMS J. Comput..

[43]  D. Karaboga,et al.  On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..

[44]  M. Dorigo,et al.  Artificielle Ant Colony Optimization for Continuous Domains , 2006 .

[45]  Mei Zhao,et al.  A niche hybrid genetic algorithm for global optimization of continuous multimodal functions , 2005, Appl. Math. Comput..

[46]  Abdel-Rahman Hedar,et al.  Studies on Metaheuristics for Continuous Global Optimization Problems , 2004 .

[47]  Xiaofeng Liao,et al.  Tabu search for fuzzy optimization and applications , 2004, Inf. Sci..

[48]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..