Swarm, Evolutionary, and Memetic Computing

1. Front Matter

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2. Self-adaptive Differential Evolution with Modified Multi-Trajectory Search for CEC’2010 Large Scale Optimization

   • Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das

   Pages 1-10

3. Differential Evolution Based Ascent Phase Trajectory Optimization for a Hypersonic Vehicle

   • Ritwik Giri, D. Ghose

   Pages 11-18

4. Dynamic Grouping Crowding Differential Evolution with Ensemble of Parameters for Multi-modal Optimization

   • Bo Yang Qu, Pushpan Gouthanan, Ponnuthurai Nagaratnam Suganthan

   Pages 19-28

5. Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants

   • G. Jeyakumar, C. Shunmuga Velayutham

   Pages 29-37

6. Differential Evolution Based Fuzzy Clustering

   • V. Ravi, Nupur Aggarwal, Nikunj Chauhan

   Pages 38-45

7. A Population Adaptive Differential Evolution Strategy to Light Configuration Optimization of Photometric Stereo

   • B. Sathyabama, V. Divya, S. Raju, V. Abhaikumar

   Pages 46-53

8. Solving Multi Objective Stochastic Programming Problems Using Differential Evolution

   • Radha Thangaraj, Millie Pant, Pascal Bouvry, Ajith Abraham

   Pages 54-61

9. Multi Sensor Fusion Using Fitness Adaptive Differential Evolution

   • Ritwik Giri, Arnob Ghosh, Aritra Chowdhury, Swagatam Das

   Pages 62-70

10. Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies

    • Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan

    Pages 71-78

11. Design of Robust Optimal Fixed Structure Controller Using Self Adaptive Differential Evolution

    • S. Miruna Joe Amali, S. Baskar

    Pages 79-86

12. Electromagnetic Antenna Configuration Optimization Using Fitness Adaptive Differential Evolution

    • Aritra Chowdhury, Arnob Ghosh, Ritwik Giri, Swagatam Das

    Pages 87-94

13. Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems

    • G. Jeyakumar, C. Shanmugavelayutham

    Pages 95-102

14. A Self Adaptive Differential Evolution Algorithm for Global Optimization

    • Pravesh Kumar, Millie Pant

    Pages 103-110

15. Optimization for Workspace Volume of 3R Robot Manipulator Using Modified Differential Evolution

    • Bibhuti Bhusan Biswal, Sumanta Panda, Debadutta Mishra

    Pages 111-118

16. Adaptive Differential Evolution with p-Best Crossover for Continuous Global Optimization

    • Sk Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Swagatam Das

    Pages 119-128

17. A New Particle Swarm Optimization Algorithm for Dynamic Environments

    • Masoud Kamosi, Ali B. Hashemi, M. R. Meybodi

    Pages 129-138

18. Power Mutation Embedded Modified PSO for Global Optimization Problems

    • Pinkey Chauhan, Kusum Deep, Millie Pant

    Pages 139-146

19. PSO Advances and Application to Inverse Problems

    • Juan Luis Fernández-Martínez, Esperanza García-Gonzalo

    Pages 147-154

20. Adaptive and Accelerated Exploration Particle Swarm Optimizer (AAEPSO) for Solving Constrained Multiobjective Optimization Problems

    • Layak Ali, Samrat L. Sabat, Siba K. Udgata

    Pages 155-162

This LNCS volume contains the papers presented at the First Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2010) held during December 16–– 18, 2010 at SRM University, Chennai, in India. SEMCCO 2010 marked the beginning of a prestigious international conference series that aims at bringing together researchers from academia and industry to report and review the latest progress in the cutting-edge research on swarm, evolutionary, and memetic computing, to explore new application areas, to design new bio-inspired algorithms for solving specific hard optimization problems, and finally to create awareness on these domains to a wider audience of practitioners. SEMCCO 2010 received 225 paper submissions from 20 countries across the globe. After a rigorous peer-review process involving 610 reviews in total, 90 fu- length articles were accepted for oral presentation at the conference. This corresponds to an acceptance rate of 40% and is intended for maintaining the high standardsof the conference proceedings. The papers included in this LNCS volume cover a wide range of topics in swarm, evolutionary, and memetic computing algorithms and their real-world applications in problems selected from diverse domains of science and engineering.

• Scheduling
• Switch
• algorithms
• ant colony optimization
• ants
• artificial bees
• artificial imune systems
• bacterial foraging algorithms
• combinatorial optimization
• evolutionary algorithm
• evolutionary programming
• genetic algorithms
• genetic programming
• membrane computing
• sorting
• algorithm analysis and problem complexity

• Department of Electrical Engineering, Indian Institute of Technology, India

  Bijaya Ketan Panigrahi

• Department of Electronics and Communication Engineering, Jadavpur University, Kolkata, India

  Swagatam Das

• School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

  Ponnuthurai Nagaratnam Suganthan

• Department of Electrical and Electronics Engineering, SRM University, Chennai, India

  Subhransu Sekhar Dash

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