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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-03933-4
Abstract: Ant colony optimization (ACO) is a well-applied technique to solve the real-time problem of discovering the energy-efficient routes to transmit the sensing information to the base station (BS). Traditionally, ACO incorporated wireless sensor networks used…
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Keywords:
pheromone;
colony optimization;
multiple pheromone;
ant colony ... See more keywords
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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2912-0
Abstract: Constraint satisfaction problem (CSP) is a fundamental problem in the field of constraint programming. To tackle this problem more efficiently, an improved ant colony optimization algorithm is proposed. In order to further improve the convergence…
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Keywords:
ant colony;
optimization;
pheromone;
optimization algorithm ... See more keywords
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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0894-4
Abstract: In this paper, a novel approach for discovering emerging patterns has been proposed. Majority of the existing algorithms for the discovery of emerging patterns are tree-based which involve growth and shrinking of trees for this…
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Keywords:
emerging patterns;
ant colony;
colony optimization;
approach ... See more keywords
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Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-020-07539-0
Abstract: Wireless sensor networks (WSN) consists of numerous number of nodes fitted with energy reserves to collect large amount of data from the environment on which it is deployed. Energy conservation has huge importance in wsn…
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Keywords:
using ant;
ant colony;
colony optimization;
energy ... See more keywords
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Published in 2017 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2016.03.003
Abstract: Abstract In this paper, constrained and unconstrained versions of a new formulation of Ant Colony Optimization Algorithm (ACOA) named Arc Based Ant Colony Optimization Algorithm (ABACOA) are augmented with the Tree Growing Algorithm (TGA) and…
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Keywords:
abacoa;
sewer networks;
ant colony;
optimization ... See more keywords
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Published in 2018 at "International journal of disaster risk reduction"
DOI: 10.1016/j.ijdrr.2018.04.004
Abstract: Abstract When a disaster strikes many roads are blocked and the affected network may break up into a number of isolated parts. The reconnection of the network is therefore necessary for both relief distribution and…
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Keywords:
road network;
network;
road;
ant colony ... See more keywords
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Published in 2021 at "International Journal of Coal Preparation and Utilization"
DOI: 10.1080/19392699.2021.1986032
Abstract: The Ant Colony Optimization algorithm is one of the leading optimization algorithms for nondeterministic polynomial hard problems. The aim of the present work is to find the maximum power of the ag...
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Keywords:
optimization process;
ant colony;
optimization;
coal ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2900029
Abstract: To solve large-scale traveling salesman problem (TSP) with better performance, this paper proposes an entropy-based dynamic heterogeneous ant colony optimization (EDHACO). The allotropic mechanism and the heterogeneous colonies model are proposed to balance the convergence…
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Keywords:
dynamic heterogeneous;
colony optimization;
based dynamic;
ant colony ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985498
Abstract: Ant Colony Optimization (ACO) is a widely applied meta-heuristic algorithm. Little researches focused on the candidate selection mechanism, which was developed based on the simple uniform distribution. This paper employs the Levy flight mechanism based…
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Keywords:
flight;
ant colony;
colony optimization;
levy flight ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3004577
Abstract: Owing to the high availability and space-efficiency of erasure codes, they have become the de facto standard to provide data durability in large scale distributed storage systems. The update-intensive workloads of erasure codes lead to…
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Keywords:
update scheme;
scheme;
erasure;
colony optimization ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3008692
Abstract: Massive data sets and complex scheduling processes have high-dimensional and non-convex features bringing challenges on various applications. With deep insight into the bio-heuristic opinion, we propose a novel Beetle Colony Optimization (BCO) being able to…
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Keywords:
beetle colony;
beetle;
application;
colony optimization ... See more keywords