Results 61 to 70 of about 14,171 (244)
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 +4 more
wiley +1 more source
Eden's Bees: Parallelizing Artificial Bee Colony in a Functional Environment
Procedia Computer Science, 2013 AbstractDue to the proliferation of multicore computers, most users own hardware that allows to speedup the execution of programs by running them in parallel. However, in practice it is not trivial to take advantage of such parallel architectures, because the programmer needs to take care of too many low level details.
Fernando Rubio 0001 +3 more
openaire +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 +4 more
wiley +1 more source
Intelligent Image Segment for Material Composition Detection
MATEC Web of Conferences, 2017 In the process of material composition detection, the image analysis is an inevitable problem. Multilevel thresholding based OTSU method is one of the most popular image segmentation techniques.
Liang Xiaodan +3 more
doaj +1 more source
A hybrid artificial bee colony algorithm for numerical function optimization
, 2011 Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence algorithms which used for problem optimization. This paper presents a Hybrid Artificial Bee Colony algorithm (HABC), in which the crossover operator of Genetic Algorithm ...
Zou WP(邹文平) +2 more
core
Simplification of Support Vector Solutions Using Artificial Bee Colony Algorithm
, 2012 Support vector machines (SVMs) are a relatively recent machine learning technique. One of the SVM problems is that SVM is considerably slower in test phase caused by the large number of support vectors, which limits its practical use.
Tsai, Yih-Jia; Yeh, Jih-Pin
core +1 more source
Unconventional ResourcesOptimizing the location of distributed generation units in electrical distribution networks is a well-established approach to improving grid performance, particularly for enhancing reliability and reducing operational losses. Recent large-scale blackouts
Meriem M’dioud +5 more
doaj +1 more source
Hybrid ABC-BAT for Solving Short-Term Hydrothermal Scheduling Problems
Energies, 2019 The main objective of short-term hydrothermal scheduling is the optimal allocation of the hydro and thermal generating units, so that the total cost of thermal plants can be minimized.
Smarajit Ghosh +3 more
doaj +1 more source
Optimized Artificial Bee Colony Algorithm with Markov Chain
Jisuanji kexue yu tansuo, 2020 The shortcomings of the artificial bee colony algorithm (ABC) and its improved algorithm are analyzed. This paper proposes the improved Markov ABC (IMABC) dividing the ABC algorithm into two stages by verifying the Markov property of the artificial bee ...
GUO Jia, MA Chaobin, ZHANG Shaobo, MIAO Mengmeng
doaj +1 more source
A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm
, 2010 Artificial Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper presents an extended ABC algorithm, namely, the Cooperative Article Bee Colony (CABC), which ...
Zou WP(邹文平) +4 more
core