A survey on traffic optimization problem using biologically inspired techniques

被引:9
作者
Srivastava, Sweta [1 ]
Sahana, Sudip Kumar [2 ]
机构
[1] Amity Univ, ASET, Dept CSE, Noida, India
[2] BIT Mesra, Dept CSE, Ranchi, Bihar, India
关键词
Biological inspiration; Genetic algorithm; Genetic programming; Ant colony optimization; Differential evolution; Particle swarm optimization; Artificial bee colony; Traffic optimization; Network design problem; NETWORK DESIGN PROBLEM; SIGNAL TIMING OPTIMIZATION; ROAD NETWORK; GENETIC ALGORITHM; HARMONY SEARCH; ANT SYSTEM; KRILL HERD; EQUILIBRIUM; MODELS; COLONY;
D O I
10.1007/s11047-019-09731-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nature is a great source of inspirations for solving complex computational problems. The inspirations can come from any source like some theory of physics or chemistry, a mathematical concept or from the biological world. Several biologically inspired techniques are implemented in various areas of research and development. These technologies can be grouped into two broad segments: Evolutionary and Swarm based depending on the nature of inspiration. This paper presents an overview of these biologically inspired techniques and its various implementations for traffic optimization with an objective to optimize congestion, minimize wait time, improve safety and reduce pollution.
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页码:647 / 661
页数:15
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