Results 51 to 60 of about 4,881 (168)

A directed artificial bee colony algorithm

Applied Soft Computing, 2015
A new method based on artificial bee colony (ABC) algorithm is proposed in this study.The improvement is based on direction information produced for artificial bees.Performance of the proposed method has been examined on numeric functions.The experimental results show that proposed approach is more effective than some classical variants of ABC ...
Mustafa Servet Kıran, Oğuz Fındık
openaire   +2 more sources

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

An improved artificial bee colony algorithm for vehicle routing problem with time windows: A real case in Dalian

Advances in Mechanical Engineering, 2016
This study has been motivated from a real western-style food delivery problem in Dalian city, China, which can be described as a vehicle routing problem with time windows.
Shaoqiang Yu, Cuicui Tai, Yanan Liu, Linjie Gao   +3 more
doaj   +1 more source

STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM

Selcuk University Journal of Engineering ,Science and Technology, 2017
Artificial Bee Colony algorithm is one of the naturally inspired meta heuristic method. As usual, in a meta heuristic method, intuitively appealing way to have better results is extending calculation time or increasing the fitness evaluation count. But the desired way is acquiring better results with less computation.
openaire   +4 more sources

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

A Multiuser Detector Based on Artificial Bee Colony Algorithm for DS-UWB Systems

The Scientific World Journal, 2013
Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. The ABC algorithm was developed to solve optimizing numerical problems and revealed premising results in processing time and solution
Zhendong Yin, Xiaohui Liu, Zhilu Wu
doaj   +1 more source

Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao   +4 more
wiley   +1 more source

The Two-Echelon Unmanned Ground Vehicle Routing Problem: Extreme-Weather Goods Distribution as a Case Study

Biomimetics
In extreme weather conditions, the use of unmanned ground vehicles (UGVs) for material distribution enhances safety. We introduce a two-echelon unmanned ground vehicle routing problem (2E-UGVRP) and proposes a hybrid Artificial Bee Colony–Wild Horse ...
Chuncheng Fang, Yanguang Cai, Yanlin Wu
doaj   +1 more source

Black Hole Artificial Bee Colony Algorithm

, 2016
Artificial bee colony (ABC) is an efficient methodology to solve optimization problems. Here, in this article a modified variant of ABC, namely Black Hole ABC algorithm (BHABC) is proposed which is based on the natural space black hole (BH) phenomenon.
Nirmala Sharma, Harish Sharma, Ajay Sharma, Jagdish Chand Bansal   +3 more
openaire   +3 more sources