Format:
1 Online-Ressource (507 p)
ISBN:
9783319490496
Series Statement:
Proceedings in Adaptation, Learning and Optimization v.8
Content:
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
Content:
3.1 A Method for Generating the Optimal Arrival Sequence Using GA -- 3.2 TATA for Optimal Arrival Sequence -- 4 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
Content:
5.2 Travel Performance Comparison with SO and UE -- 6 Conclusion -- References -- 3 Impact of ALife Simulation of Darwinian and Lamarckian Evolutionary Theories -- Abstract -- 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
Content:
3 Problem Formulation -- 3.1 Duty-Cycle Wireless Sensor Networks Model -- 3.2 Multicast on Duty-Cycle Wireless Sensor Network -- 4 Proposed Algorithm -- 4.1 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
Content:
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 Particles -- 4 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
Content:
3.2 Priority Rules
Note:
Description based upon print version of record
Additional Edition:
9783319490489
Additional Edition:
Print version Leu, George Intelligent and Evolutionary Systems : The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings Cham : Springer International Publishing,c2016 9783319490489
Language:
English
Keywords:
Electronic books
URL:
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