Enhancing differential evolution with a target vector replacement strategy

Zeng, Zhiqiang; Zhang, Min; Hong, Zhiyong; Zhang, Huanhuan; Zhu, He

doi:10.1016/j.csi.2022.103631

Cited by 8 publications

(1 citation statement)

References 44 publications

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“…Heuristic algorithms are widely used in similar research fields. The first subcategory of heuristics consists of algorithms inspired by evolution concepts, referred to as Evolutionary Algorithms (EAs) [41], which include Genetic Algorithms (GA) [42,43] and Differential Evolution [44,45]. The other type of algorithms is swarm-based or population-based algorithms, which are inspired by animal behaviors [46], Particle Swarm Optimization (PSO) [47,48], Gray-Wolf Optimization (GWO) [49,50], Cuckoo Search Algorithm [51,52] are just a few examples of swarm intelligence algorithms.…”

Section: Algorithm Descriptionmentioning

confidence: 99%

Location Optimization of VTS Radar Stations Considering Environmental Occlusion and Radar Attenuation

Huang

2022

IJGI

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Waterway traffic monitoring is an important content in waterway traffic management. Taking into account that the number of monitored water areas is growing and that waterway traffic management capabilities are insufficient in the current situation in China, this paper investigates the location optimization of the vessel traffic service (VTS) radar station. During the research process, radar attenuation and environmental occlusion, as well as variable coverage radius and multiple covering are all considered. In terms of the radar attenuation phenomenon in the propagation process and obstacles such as mountains and islands in the real world, judgment and evaluation methods in a three-dimensional space are proposed. Moreover, a bi-objective mathematical model is then developed, as well as a modified adaptive strategy particle swarm optimization algorithm. Finally, a numerical example and a case are given to verify the effectiveness of the proposed methods, model, and algorithm. The results show the methods, model, and algorithm proposed in this paper can solve the model efficiently and provide a method to optimize the VTS radar station location in practice.

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