Linked e-resources
Details
Table of Contents
Preface; Organizing Committee; Conference Chair; Proceedings Chairs; Special Session Chairs; Registration Chair; Local Arrangement Chair; Publicity Chair; Sponsorship Chair; Program Committee; Contents; An Evolutionary Optimization Approach for Path Planning of Arrival Aircraft for Optimal Sequencing; 1 Introduction; 2 Problem Formulation; 2.1 Optimization Model for Arrival Sequencing Using Traditional GA; 2.2 Optimization Model for Arrival Sequencing Using Path Planning (TATA); 3 Methodology; 3.1 A Method for Generating the Optimal Arrival Sequence Using GA.
3.2 TATA for Optimal Arrival Sequence4 Experimental Design; 5 Result Analysis and Discussion; 6 Conclusion; References; 2 A Game-Theoretic Approach to the Analysis of Traffic Assignment; Abstract; 1 Introduction; 2 Stackelberg Game Based Modelling; 3 Gradient Projection Based Traffic Assignment; 4 Solution Methodology for the Stackelberg Game Based Traffic Assignment; 5 Numerical Experiment; 5.1 Convergence and Computation Performance of the Gradient Projection Method; 5.2 Travel Performance Comparison with SO and UE; 6 Conclusion; References.
3 Impact of ALife Simulation of Darwinian and Lamarckian Evolutionary TheoriesAbstract; 1 Introduction; 2 Background and Problem Identification; 2.1 Engineering; 2.2 Computational Biology; 2.3 Philosophy and Ethics; 2.4 Research Objectives; 3 Research; 3.1 Fundamentals; 3.2 Proposal (Model); 3.3 Argument; 4 Conclusions; References; 4 A Local Search Algorithm for Saving Energy Cost in Duty-Cycle Wireless Sensor Network; Abstract; 1 Introduction; 2 Related Works; 3 Problem Formulation; 3.1 Duty-Cycle Wireless Sensor Networks Model; 3.2 Multicast on Duty-Cycle Wireless Sensor Network.
4 Proposed Algorithm4.1 Searching for the Best Transport Schedule of Multicast Tree; 4.2 Finding the Base Solution; 4.3 Solution Initialization; 4.4 Complexity of Proposed Algorithm; 5 Experimental Results; 5.1 Problem Instances; 5.2 System Configuration; 5.3 Computational Results; 6 Conclusion; Acknowledgments; References; 5 Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization; Abstract; 1 Introduction; 2 Problem Description; 3 Particle Swarm Optimization; 3.1 Path Planning with SRVPSO; 3.2 Collision Avoidance Strategy; 3.3 Update the Fitness Value.
3.4 Update the Velocity of the Collision Zone Particles4 Results and Discussions; 4.1 Path Planning by Obstacle Avoidance; 4.2 Path Planning with Multi-agent Systems; 5 Conclusions; References; 6 Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach; Abstract; 1 Introduction; 2 Problem Description; 2.1 Nomenclature; 3 Algorithms; 3.1 ELSH-VN; 3.2 Priority Rules; 4 Experimental Results and Analysis; 4.1 Generation of Test Projects; 4.2 Experimental Results for Priority Rule Based ELSH-VN; 4.3 Statistical Comparison; 5 Conclusions; References.
3.2 TATA for Optimal Arrival Sequence4 Experimental Design; 5 Result Analysis and Discussion; 6 Conclusion; References; 2 A Game-Theoretic Approach to the Analysis of Traffic Assignment; Abstract; 1 Introduction; 2 Stackelberg Game Based Modelling; 3 Gradient Projection Based Traffic Assignment; 4 Solution Methodology for the Stackelberg Game Based Traffic Assignment; 5 Numerical Experiment; 5.1 Convergence and Computation Performance of the Gradient Projection Method; 5.2 Travel Performance Comparison with SO and UE; 6 Conclusion; References.
3 Impact of ALife Simulation of Darwinian and Lamarckian Evolutionary TheoriesAbstract; 1 Introduction; 2 Background and Problem Identification; 2.1 Engineering; 2.2 Computational Biology; 2.3 Philosophy and Ethics; 2.4 Research Objectives; 3 Research; 3.1 Fundamentals; 3.2 Proposal (Model); 3.3 Argument; 4 Conclusions; References; 4 A Local Search Algorithm for Saving Energy Cost in Duty-Cycle Wireless Sensor Network; Abstract; 1 Introduction; 2 Related Works; 3 Problem Formulation; 3.1 Duty-Cycle Wireless Sensor Networks Model; 3.2 Multicast on Duty-Cycle Wireless Sensor Network.
4 Proposed Algorithm4.1 Searching for the Best Transport Schedule of Multicast Tree; 4.2 Finding the Base Solution; 4.3 Solution Initialization; 4.4 Complexity of Proposed Algorithm; 5 Experimental Results; 5.1 Problem Instances; 5.2 System Configuration; 5.3 Computational Results; 6 Conclusion; Acknowledgments; References; 5 Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization; Abstract; 1 Introduction; 2 Problem Description; 3 Particle Swarm Optimization; 3.1 Path Planning with SRVPSO; 3.2 Collision Avoidance Strategy; 3.3 Update the Fitness Value.
3.4 Update the Velocity of the Collision Zone Particles4 Results and Discussions; 4.1 Path Planning by Obstacle Avoidance; 4.2 Path Planning with Multi-agent Systems; 5 Conclusions; References; 6 Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach; Abstract; 1 Introduction; 2 Problem Description; 2.1 Nomenclature; 3 Algorithms; 3.1 ELSH-VN; 3.2 Priority Rules; 4 Experimental Results and Analysis; 4.1 Generation of Test Projects; 4.2 Experimental Results for Priority Rule Based ELSH-VN; 4.3 Statistical Comparison; 5 Conclusions; References.