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Wai Hung Ip
Researcher at Hong Kong Polytechnic University
Publications - 303
Citations - 6039
Wai Hung Ip is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Fuzzy logic & Genetic algorithm. The author has an hindex of 39, co-authored 298 publications receiving 5287 citations. Previous affiliations of Wai Hung Ip include University of Hong Kong & City University of Hong Kong.
Papers
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Journal ArticleDOI
Resilience and Friability of Transportation Networks: Evaluation, Analysis and Optimization
Wai Hung Ip,Dingwei Wang +1 more
TL;DR: The resilience and friability of the railway network within the Chinese mainland is evaluated and analyzed, and a structure optimization model with a computational algorithm for transportation network design is recommended.
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Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise
TL;DR: A rule-based genetic algorithm (R-GA) with embedded project scheduling is developed to solve a risk-based partner selection problem and the results of this trial demonstrate the real life capability of the algorithm.
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An Ant Colony Optimization Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks
TL;DR: An ACO-based approach that can maximize the lifetime of heterogeneous WSNs by finding the maximum number of disjoint connected covers that satisfy both sensing coverage and network connectivity is proposed.
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An Efficient Ant Colony System Based on Receding Horizon Control for the Aircraft Arrival Sequencing and Scheduling Problem
TL;DR: Experimental results verify that the proposed RHC-ACS-ASS algorithm generally outperforms ordinary ACS without using the RHC technique and genetic algorithms in solving the ASS problems and offers high robustness, effectiveness, and efficiency.
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Design and development of a hybrid artificial bee colony algorithm for the environmental vehicle routing problem
TL;DR: This paper introduces a new model called environmental vehicle routing problem (EVRP) with the aim of reducing the adverse effect on the environment caused by the routing of vehicles and designs a hybrid artificial bee colony algorithm designed to solve the EVRP model.