Dr. Kusum Deep, is an Associate Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well-cited making her a central International figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization. Prof. Atulya Nagar holds the Foundation Chair of Computer and Mathematical Sciences and Heads the Department of Computer Science, at Liverpool Hope University, Liverpool, UK. Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations Dr. Millie Pant, is an Assistant Professor with the Department of Paper Technology, Indian Institute of Technology, Roorkee, India. At this age, she has earned a remarkable International reputation in the area of Genetic Algorithms, Differential Algorithms and Swarm Intelligence. Dr. Jagdish Chand Bansal, is an Assistant Professor with the ABV-Indian Institute of Information Technology and Management, Gwalior, India. Holding an excellent academic record, he is a budding researcher in the field of Swarm Intelligence at the International Level.

• From the Contents: Evolutionary Technique Based Compensator for Z – shaped Pantograph System.- Study on ductility of Ti Aluminides using Mamdani Fuzzy Inference System.- A New Disc Based Particle Swarm Optimization.- Application of Globally Adaptive Inertia Weight PSO to Lennard-Jones problem.- Serial DPGA vs Parallel Multithreaded DPGA:Threading Aspects.- Dynamic Call Transfer Through Wi-Fi Networks using Asterisk.- Differential Evolution Strategies for Multiobjective Optimization.- Dynamic Scaling Factor based Differential Evolution Algorithm.- Performance Improvement in Vector Control of Induction Motor Drive using Fuzzy Logic Controller.- A Fuzzy Particle Swarm optimization for solving the Economic Dispatch problem.

Dr. Kusum Deep, is an Associate Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well-cited making her a central International figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization. Prof. Atulya Nagar holds the Foundation Chair of Computer and Mathematical Sciences and Heads the Department of Computer Science, at Liverpool Hope University, Liverpool, UK. Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations Dr. Millie Pant, is an Assistant Professor with the Department of Paper Technology, Indian Institute of Technology, Roorkee, India. At this age, she has earned a remarkable International reputation in the area of Genetic Algorithms, Differential Algorithms and Swarm Intelligence. Dr. Jagdish Chand Bansal, is an Assistant Professor with the ABV-Indian Institute of Information Technology and Management, Gwalior, India. Holding an excellent academic record, he is a budding researcher in the field of Swarm Intelligence at the International Level.

• From the Contents: Evolutionary Technique Based Compensator for Z – shaped Pantograph System.- Study on ductility of Ti Aluminides using Mamdani Fuzzy Inference System.- A New Disc Based Particle Swarm Optimization.- Application of Globally Adaptive Inertia Weight PSO to Lennard-Jones problem.- Serial DPGA vs Parallel Multithreaded DPGA:Threading Aspects.- Dynamic Call Transfer Through Wi-Fi Networks using Asterisk.- Differential Evolution Strategies for Multiobjective Optimization.- Dynamic Scaling Factor based Differential Evolution Algorithm.- Performance Improvement in Vector Control of Induction Motor Drive using Fuzzy Logic Controller.- A Fuzzy Particle Swarm optimization for solving the Economic Dispatch problem.

Dr. Kusum Deep, is an Associate Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well-cited making her a central International figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization. Prof. Atulya Nagar holds the Foundation Chair of Computer and Mathematical Sciences and Heads the Department of Computer Science, at Liverpool Hope University, Liverpool, UK. Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations Dr. Millie Pant, is an Assistant Professor with the Department of Paper Technology, Indian Institute of Technology, Roorkee, India. At this age, she has earned a remarkable International reputation in the area of Genetic Algorithms, Differential Algorithms and Swarm Intelligence. Dr. Jagdish Chand Bansal, is an Assistant Professor with the ABV-Indian Institute of Information Technology and Management, Gwalior, India. Holding an excellent academic record, he is a budding researcher in the field of Swarm Intelligence at the International Level.

• From the Contents: Evolutionary Technique Based Compensator for Z – shaped Pantograph System.- Study on ductility of Ti Aluminides using Mamdani Fuzzy Inference System.- A New Disc Based Particle Swarm Optimization.- Application of Globally Adaptive Inertia Weight PSO to Lennard-Jones problem.- Serial DPGA vs Parallel Multithreaded DPGA:Threading Aspects.- Dynamic Call Transfer Through Wi-Fi Networks using Asterisk.- Differential Evolution Strategies for Multiobjective Optimization.- Dynamic Scaling Factor based Differential Evolution Algorithm.- Performance Improvement in Vector Control of Induction Motor Drive using Fuzzy Logic Controller.- A Fuzzy Particle Swarm optimization for solving the Economic Dispatch problem.