Titlebook: Simulated Evolution and Learning; 11th International C Yuhui Shi,Kay Chen Tan,Yaochu Jin Conference proceedings 2017 Springer International

Inexorable

978-3-319-68758-2Springer International Publishing AG 2017

endoscopy

Simulated Evolution and Learning978-3-319-68759-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

恃強(qiáng)凌弱

我邪惡

Exact Approaches for the Travelling Thief?Problemcy of such approaches is unknown due to their inability to find global optima. In this paper, we propose three exact algorithms and a hybrid approach to the TTP. We compare these with state-of-the-art approaches to gather a comprehensive overview on the accuracy of heuristic methods for solving small TTP instances.

少量

Cursory

Using Parallel Strategies to Speed up Pareto Local Searchperimental results show that the proposed approaches can significantly speed up PLS while maintaining about the same solution quality. In addition, we introduce a new way to visualize the search process of PLS on two-objective problems, which is helpful to understand the behaviors of PLS algorithms.

commodity

observatory

neolith

熱情贊揚(yáng)

An Efficient Local Search Algorithm for?Minimum Weighted Vertex Cover on?Massive Graphsity initial vertex cover. The other is a new exchange step for reconstructing a vertex cover. Experiments on 102 instances were conducted to confirm the effectiveness of our algorithm. The results show that the FastWVC algorithm outperforms other algorithms in terms of both solution quality and computational time in most of the instances.