Results 51 to 60 of about 14,171 (244)

Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimization [PDF]

open access: yes, 2012
A major problem with Artificial Bee Colony (ABC) algorithm is its premature convergence to local optima, which originates from lack of explorative search capability of the algorithm.
MURASE, Kazuyuki   +2 more
core  

Consensus‐Based Recommendations to Embrace Sustainable Luxury: A Delphi Study

open access: yesSustainable Development, EarlyView.
ABSTRACT Integrating sustainability into luxury practices presents unique challenges. Using a two‐phase Delphi method, this study develops consensus‐based recommendations for sustainable luxury. Findings identify key priorities including traceability, fair labour, circular design, and sustainable materials as essential for aligning luxury with ethical ...
Alexia Del Greco   +52 more
wiley   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

open access: yesSmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen   +12 more
wiley   +1 more source

Artificial Bee Colony Algorithm Based On Von Neumann Topology Structure

open access: yes, 2010
Article Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper proposes a new variant of the ABC algorithm based on Von Neumann topology structure for solving global ...
Zou WP(邹文平)   +3 more
core   +1 more source

A novel artificial bee colony based clustering algorithm for categorical data.

open access: yesPLoS ONE, 2015
Data with categorical attributes are ubiquitous in the real world. However, existing partitional clustering algorithms for categorical data are prone to fall into local optima. To address this issue, in this paper we propose a novel clustering algorithm,
Jinchao Ji   +4 more
doaj   +1 more source

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

open access: yesSmall, 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   +9 more
wiley   +1 more source

Improved Onlooker Bee Phase in Artificial Bee Colony Algorithm

open access: yesInternational Journal of Computer Applications, 2014
9 pages.
Sandeep Kumar 0001   +2 more
openaire   +2 more sources

A modified Artificial Bee Colony optimizer by comprehensive learning and Powell' search

open access: yes, 2015
T In order to improve the algorithmic ability of balancing the exploration and exploitation tradeoff, a modified Artificial Bee Colony optimizer (MABC) is proposed by combining Powell's search and comprehensive learning using PSO-based search ...
Boyang Liu   +7 more
core   +1 more source

Agricultural Fungicide Mancozeb in Leaf Litter Enhances Survival and Growth of Aedes aegypti (Diptera: Culicidae)

open access: yesEnvironmental Toxicology, EarlyView.
ABSTRACT Mancozeb is one of the most widely used agricultural fungicides, exhibiting strong efficacy against a broad spectrum of phytopathogenic fungi. However, its widespread application comes at the cost of environmental contamination. Here, we show the effects of Inga vera leaf litter contamination with Mancozeb on life‐history traits of Aedes ...
Heloise Restello Remus   +8 more
wiley   +1 more source

Exporting Rain-Fall optimization concepts to Artificial Bee Colony

open access: yes, 2019
In this paper we take inspiration from RainFall Optimization metaheuristic (RFO) to modify other metaheuristics. An interesting concept of RFO is its merit list. We argue that this concept could be successfully exported to other metaheuristics.
Encina, Alberto de la   +5 more
core   +1 more source

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