Results 101 to 110 of about 62,405 (273)

Gene‐specific double‐stranded RNAs induce mortality in the South African mealybug Delottococcus aberiae

open access: yesPest Management Science, EarlyView.
Gene‐specific double‐stranded RNAs effectively silence essential genes in the invasive citrus pest Delottococcus aberiae, leading to significant mortality through both microinjection and oral delivery. These results provide proof of concept for RNA interference‐based biopesticides as selective and sustainable tools for citrus integrated pest management.
Carolina Gallego‐Giraldo   +6 more
wiley   +1 more source

Simulation of ant colony optimization on hole making performance [PDF]

open access: yes, 2018
Hole making operation one of machining process widely used in industrial industry. One of the main criteria in determining the efficiency of machining performance in hole making operation is shortest machining time. In this paper, simulation approach
Abdullah, Haslina   +2 more
core  

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

Tuning PID Controller Using Multiobjective Ant Colony Optimization

open access: yesApplied Computational Intelligence and Soft Computing, 2012
This paper treats a tuning of PID controllers method using multiobjective ant colony optimization. The design objective was to apply the ant colony algorithm in the aim of tuning the optimum solution of the PID controllers (Kp, Ki, and Kd) by minimizing ...
Ibtissem Chiha   +2 more
doaj   +1 more source

Multiple Ant Colony Optimization Based on Pearson Correlation Coefficient

open access: yesIEEE Access, 2019
Ant Colony Optimization algorithms have been successfully applied to solve the Traveling Salesman Problem (TSP). However, they still have a tendency to fall into local optima, mainly resulting from poor diversity, especially in those TSPs with a lot of ...
Hongwei Zhu, Xiaoming You, Sheng Liu
doaj   +1 more source

Ant Colony System Optimization. [PDF]

open access: yesThe Journal of Object Technology, 2009
Successful heuristic algorithms for solving combinatorial optimization problems have mimicked processes observed in nature. Two highly successful families of algorithms that do this are simulated annealing and genetic algorithms. Here, a third family of algorithms, ant colony optimization is explored and implemented in C#.
openaire   +1 more source

MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo   +5 more
wiley   +1 more source

An Optimized Ant System For Clustering With Elitist Ant And Local Search

open access: yesITM Web of Conferences, 2016
Clustering analysis is an important field in data mining, and also one of the current research hotspots in computer science. This paper focus on some classical data clustering algorithms and swarm intelligence, especially ant colony optimization, trying ...
Li Ming-Pan, Yao Min
doaj   +1 more source

D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving Word Sense Disambiguation [PDF]

open access: yes, 2014
Word sense disambiguation (WSD) is a problem in the field of computational linguistics given as finding the intended sense of a word (or a set of words) when it is activated within a certain context.
Abualhaija, Sallam   +1 more
core  

Cooperative Group Optimization with Ants (CGO-AS): Leverage Optimization with Mixed Individual and Social Learning

open access: yes, 2017
We present CGO-AS, a generalized Ant System (AS) implemented in the framework of Cooperative Group Optimization (CGO), to show the leveraged optimization with a mixed individual and social learning. Ant colony is a simple yet efficient natural system for
Wang, Zun-Jing, Xie, Xiao-Feng
core   +1 more source

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