Preface; Contents; Search and Optimisation; 1 The Pilot Environmental Performance Index 2006 as a Tool for Optimising Environmental Sustainability at the Country Level; Abstract; 1 Introduction; 2 The Pilot EPI 2006; 3 The Proposed GA Methodology for Optimising Environmental Sustainability; 4 Comparisons Between Methodologies; 5 An Alternative Mutation-Based GA for the Generation-Wise Improvement of the ES of Any Country of Interest; 6 Conclusions; References; Integrated Demand and Supply Side Pricing Optimization Schemes for Electricity Market; 1 Introduction

2 Problem Formulation and Simulation Tool 2.1 Generator's Offer; 2.2 Independent System Operator (ISO); 2.3 Retail Market; 3 Balance Mechanism; 4 Numerical Results; 4.1 Parameter Setting; 4.2 Simulation Results ; 5 Conclusion; References; 3 Dynamic Resource Allocation Through Workload Prediction for Energy Efficient Computing; Abstract; 1 Introduction; 2 NARX Model Theory; 3 Experimental System Setup; 4 Results and Discussion; 5 Conclusion; References; Harmony Search Algorithm for Fuzzy Cerebellar Model Articulation Controller Networks Optimization; 1 Introduction; 2 Background

2.1 An Overview of Fuzzy Cerebellar Model Articulation Controller Network2.2 An Improved Harmony Search Algorithm; 3 The Approach; 4 Experimentations; 4.1 Experimental Results; 5 Conclusion; References; 5 A Dynamic Tabu Search Approach for Solving the Static Frequency Assignment Problem; Abstract; 1 Introduction; 2 Overview of the Static MO-FAP; 3 Modeling the Static MO-FAP as a Dynamic Problem; 4 Graph Coloring Model for the Static MO-FAP; 5 Overview of the Dynamic Tabu Search Approach; 5.1 Solution Space and Cost Function; 5.2 Structure of the Dynamic Tabu Search Approach

5.3 The Online Assignment Phase6 Experiments and Results; 6.1 Results of the DTS Approach; 6.2 Results Comparison with Other Algorithms; 7 Conclusions and Future Work; References; A New Multi-objective Model for Constrained Optimisation; 1 Introduction; 2 A New Multi-objective Model for Constrained Optimisation; 2.1 A Standard Two-Objective Model; 2.2 A New Multi-objective Model; 3 Multi-objective Differential Evolution for Constrained Optimisation; 3.1 MOEAs; 3.2 Constrained Multi-objective Differential Evolution; 3.3 Differential Evolution; 4 Experiments and Results

4.1 Experimental Settings4.2 Experimental Results; 5 Conclusions; References; Modelling and Simulation; Complex Network Based Computational Techniques for `Edgetic' Modelling of Mutations Implicated with Cardiovascular Disease; 1 Introduction; 1.1 The Role of Mutations on Disease; 2 Methods; 2.1 SNIPPETS; 2.2 Limitations of the Study; 2.3 Related Work; 3 The Relationship Between Graph Theory and Interactome Modelling; 3.1 Identification of Hub Proteins with Centrality Measures; 4 Results; 5 Conclusion; References; TSK Inference with Sparse Rule Bases; 1 Introduction; 2 Background