Intelligent and evolutionary systems : the 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings

• Corporate Author: Asia Pacific Symposium on Intelligent and Evolutionary Systems Canberra, A.C.T.
• Other Authors: Leu, George (Editor), Singh, Hemant Kumar (Editor), Elsayed, Saber (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer, 2016.
• Series: Proceedings in adaptation, learning and optimization ; v. 8.
• Subjects: Artificial intelligence > Congresses.; Evolutionary computation > Congresses.; elektronické knihy; electronic books
• ISBN: 9783319490496; 9783319490489
• Physical Description: 1 online resource (507 pages)

Over the last two decades the field of Intelligent Systems delivered to human kind significant achievements, while also facing major transformations. 20 years ago, automation and knowledge-based AI were still the dominant paradigms fueling the efforts of both researchers and practitioners. Later, 10...

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.