A multi-objective PSO for job-shop scheduling probl ems D. Y. Shaa and Hsing-HungLinb aDepartment of Industrial Engineering and System Management, Ch ung Hua University,, Hsin Chu, Taiwan R. O. C. ; bDepartment.

 

7 Enhancing Solution Similarity in Multi-Objective Vehicle Routing Problems with Different Demand Periods Tadahiko Murata 1,2 and Ryota Itai 3 1 Policy.

 

R. H. C. Takahashi et al. Eds. : EMO 2011, LNCS 6576, pp. 492–504, 2011. © Springer-Verlag Berlin Heidelberg 2011 A Bi-objective Iterated Loca l Search Heuristic with.

 

5 Using Crowding Distance to Improve Multi-Objective PSO with Local Search Shih-Chia Chang 1 and Po-WuLai2 1Department of Business Administration, National Taipei.

 

5 Using Crowding Distance to Improve Multi-Objective PSO with Local Search Shih-Chia Chang 1 and Po-WuLai2 1Department of Business Administration, National Taipei.

 

Using Learning Automata to Enhance Local-Search Based SAT Solvers with Learning Capability 63 Using Learning Automata to Enhance Local-Search Based.

 

Journal WCSIT ISSN:2221-0741 Vol. 1, No. 1, 5-9, 2011 5 Hybrid Model for Solving Multi - Objective Problems Using Evolutionary Algorithm and Tabu Search.

 

Journal WCSIT ISSN:2221-0741 Vol. 1, No. 1, 5-9, 2011 5 Hybrid Model for Solving Multi - Objective Problems Using Evolutionary Algorithm and Tabu Search.

 

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An Evolutionary Multi-Objective Crowding Algorithm EMOCA : Benchmark Test Function Results Ramesh Rajagopalan, Chilukuri K. Mohan, Kishan G. Mehrotra, and Pramod.

 

Development and application of a methodology for designing a multi-objective and multi-pollutant air quality monitoring network for urban areas 23 Development and application of a methodology for designing a multi-.

 

A New Non-dominated Sorting Genetic Algorithm for Multi-Objective Optimization 85 A New Non-dominated Sorting Genetic Algorithm for Multi-Objective Optimization Chih-Hao Lin and Pei-Ling Lin.

 

Multi-objective Nonlinear Model Predictive Control: Lexicographic Method 167 Multi-objective Nonlinear Model Predictive Control: Lexicographic Method Tao ZHENG, Gang.

 

Design of dielectric lens antennas by multi-objective optimization 405 Design of dielectric lens antennas by multi-objective optimization Yoshihiko Kuwahara and Takashi Maruyama.

 

- 6, 2012, Brno Universit y of Technology, Czech Republic A Multi Start Iterated Local Search algorithm for the multi compartment vehicle routing.

 

1 A particle swarm optimization for multi- objective flow-shop scheduling ¿ ³ ! ³ ! The academic approach of flowshop scheduling has been extended to multiple objectives to meet.

 

International Journal of Advanced Computer Science and Applications, Vol. 3,No. 9, 2012 197 Pagewww. ijacsa. thesai. org Improved Accuracy of PSO and DE using Normalization: an Application.

 

ANew Particle Swarm Optimization for Multi- objective Open Shop Scheduling D. Y. Sha Department of Technology Management, Chung Hua Univ ersity, Hsinchu,.

 

ANew Particle Swarm Optimization for Multi- objective Open Shop Scheduling D. Y. Sha Department of Technology Management, Chung Hua Univ ersity, Hsinchu,.

 

15 Multi-Objective Optimization Methods Based on Artificial Neural Networks Sara Carcangiu, Alessandra Fanni and Augusto Montisci Electrical and Electronic Engineering.

 

2 Multi-objective Simulated Annealing for a Maintenance Workforce Scheduling Problem: A case Study Nima Safaei, Dragan Banjevic and Andrew K. S. Jardine C-MORE.

 

3 Evolutionary Multi-Objective Algorithms Aurora Torres, Dolores Torres, Sergio Enriquez, Eunice Ponce de León and Elva Díaz University of Aguascalientes,.

 

9 PID Tuning: Robust and Intelligent Multi-Objective Approaches Hassan Bevrani 1 and Hossein Bevrani2 1 University of Kurdistan, 2 University of Tabriz, Iran 1. Introduction The PID cont.

 

9 PID Tuning: Robust and Intelligent Multi-Objective Approaches Hassan Bevrani 1 and Hossein Bevrani2 1 University of Kurdistan, 2 University of Tabriz, Iran 1. Introduction The PID cont.

 

22 MO-Miner: A Data Mining Tool Based on Multi-Objective Genetic Algorithms Gina M. B. de Oliveira 1 , Luiz G. A. Martins 1 and Maria C. S. Takiguti2 1 Universidade Federal.

 

13 Evolutionary Multi-Objective Robust Optimization J. Ferreira , C. M. Fonseca , J. A. Covas and A. Gaspar-Cunha I3N, University of Minho, Guimarães, Centre for Intelligent Systems, University.

 

15 Multi-objective Genetic Algorithm MUGA Ali Jamali 1 , Nader Nariman-zadeh 1,2 and Kazem Atashkari1 1 Dept. of Mechanical Engineering, Faculty of Engineering, University of Guilan,.

 

20 Multiple Multi-Objective Servo Design - Evolutionary Approach Piotr Wozniak Institute of Automatic Control, Technical University of Lodz Poland 1. Introduction.

 

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1 Different Tools on Multi-Objective Optimization of a Hybrid Artificial Neural Network – Genetic Algorithm for Plasma Chemical Reactor Modelling Nor Aishah SaidinaAmin1,.

 

Published based on Using Google Places to Rank High in Local Search Using Google Places to Rank High in Local Search.

 

14 Backbone Guided Local Search for the Weighted Maximum Satisfiability Problem He Jiang and Jifeng Xuan School of Software, Dalian University of Technology.

 

Leveraging New Local Search to Improve Your Reputat ion GoogleÂ’s new search engine algorithms have changed the way this leading search engine.

 

Using Genres to Improve Search Engines Vedrana Vidulin Jožef Stefan Institute Jamova 39, 1000 Ljubljana Slovenia vedrana. vidulin.

 

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3 Objective Assessment of Local Retinal Function by Focal Macular and Multifocal Kei Shinoda 1,2 , Celso Soiti Matsumoto 1 and HisaoOhde2,3 1Teikyo University 2Keio.

 

D. -S. Huang et al. Eds. : ICIC 2011, LNBI 6840, pp. 582–587, 2012. © Springer-Verlag Berlin Heidelberg 2012 Multi-objective Optimizati on Using BFO Algorithm Ben Niu 1,2,4.

 

Using Multi-Objective Evolutionary Algorithms in the Optimization of Polymer Injection Molding Célio Fernandes 1 , António J. Pontes 1 , Júlio C. Viana 1 , and A. Gaspar-Cunha 1 Abstract.

 

Use of Multi-Objective Evolutionary Algorithms in Extrusion Scale-up José António Covas 1 and António Gaspar-Cunha1 1 IPC- Institute for Polymers and Composites / I3N, University.

 

322 Local Search and Stochastic Local Search 4. 8 ‡ Assignment 2 is available on WebCT today due Friday, February24st ‡Can only use upto Practice Exercise.

 

23 Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models Ieroham Baruch, Rosalba Galvan-Guerra and Sergio-Miguel.

 

An efficient multi-objective pulse radar compression technique using RBF and NSGA-II Baghel, V. ; Panda, G. ; Srihari, P. ; Rajarajeswari, K. ; Majhi, B. 2009 Proceedings of World.

 

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Multi-objective Optimization of Parallel Machine Scheduling Using Neural Networks A. Muralidhar1 1 Department of Mechanical Engineering, Thanthai Periyar Government Institute.

 

A F unctional F ramework for S olving Multi- objective O ptimization P roblems using G enetic A lgorithms Daan vanBeek University of Twente P. O. Box 217, 7500AE.

 

International Journal of Advanced Computer Science and Applications, V ol. 3, No. 9, 2012 12 Page www. ijacsa. thesai. org A Multi - Objective Optimization Approach Using Genetic.

 

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