Titlebook: Intelligent and Evolutionary Systems; The 20th Asia Pacifi George Leu,Hemant Kumar Singh,Saber Elsayed Conference proceedings 2017 The Edit

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A Local Search Algorithm for Saving Energy Cost in Duty-Cycle Wireless Sensor Network,ter deployment, the lack of energy and the interruptive process in each sensor are the two major problems of WSN systems. Hence, designing a protocol which not only improves system performance but also lowers sensors’ energy consumption so as to maximize the network lifetime is very much desirable.

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Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization,ticle Swarm Optimization (PSO) method; an evolutionary computation (EC) technique that uses the dynamics of the swarm to search the solutions for the optimization problems. It describes the path replanning technique and obstacle avoidance for autonomous multi-agent systems. A simultaneous replanning

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Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Apprlio lateness. To solve the RCMPSP, we have proposed an evolutionary local search heuristic that uses a variable neighborhood (ELSH-VN) approach. The heuristic is further analyzed by incorporating different priority-rules. To judge the performance of these priority rule based heuristics, an extensive

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Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression,ssion. Genetic Programming (GP) is a good choice for feature construction for its natural ability to explore the feature space to detect and combine important features. However, there is very little contribution devoted to enhance the generalisation performance of GP for high-dimensional symbolic re

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Semi-automatic Picture Book Generation Based on Story Model and Agent-Based Simulation,have been reported. However, most of those do not consider stories and representation mediums separately. In this study, we focus on the picture book as the narrative because picture book is a mix of images and language. As a first step of automatic story generation without representation mediums, w

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Integrating Class Information and Features in Cluster Analysis Based on Evolutionary Distance Metrial and incomprehensible results in a human point of view. Unsupervised clustering constructs based on the similarities of numerical features. This study decreases the gap between multiple disciplines that are concerned both computational artifact and the human understanding in order to construct a m

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Multiple Additional Sampling by Expected Improvement Maximization in Efficient Global Optimization s based on time-consuming evaluations such as computational fluid dynamics. However, the original formulation of EGO can find only one additional sample point after an initial sample point is acquired for the initial Kriging model construction. Therefore, the efficiency of EGO is decreased even if t