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Ant Colony Optimization Algorithm
ACO is a potent algorithm inspired by ants' social behavior. It can solve complex computational problems and offers a promising approach to finding near-optimal solutions in various domains. This essay focuses on ACO's potential to solve the Travelling Salesman Problem (TSP) by mimicking ants' pheromone-based path finding.
Olive Cheong Yu Xuan +5 more
openaire +1 more source
One direction of ant colony optimization researches is dividing the ants’ population into several colonies. These colonies work together to collectively solve an optimization problem. This approach offers good opportunity to explore a large area of the search space. It seems to be a suitable approach to improve the performance of ant algorithms.
Alaa Aljanaby +2 more
openaire +2 more sources
Planning tasks are important in construction, manufacturing, logistics, and education. At the same time, scheduling problems belong to the class of NP-hard optimization problems.
Pavel V. Matrenin
doaj +1 more source
Near-Optimum Soft-Output Ant-Colony-Optimization Based Multiuser Detection for the DS-CDMA uplink [PDF]
In this contribution, a novel soft-output Ant Colony Optimization (ACO) based Multi-User Detector (MUD) is proposed for the synchronous Direct-Sequence Code-Division- Multiple-Access (DS-CDMA) uplink.
Yang, L.-L. +11 more
core +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. [PDF]
The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose several extensions to cAnt- Miner.
Otero, Fernando E.B. +3 more
core +1 more source
Application of an Improved Ant Colony Algorithm in TSP Problem Solving
Ant Colony Algorithm (ACA) is a kind of heuristic search algorithm based on population search. As a new bionic algorithm, ACA has attracted a lot of experts and scholars' attention. And they deduct many different improved versions.
W.D. Ren, W.X. Sun
doaj +1 more source
A genome‐wide microRNA CRISPR screen identifies miR‐18a as a master regulator of cross‐resistance in melanoma. Loss of miR‐18a activates the AJUBA–YAP/Hippo axis to confer BRAFi resistance and enhances THBS1–CD47 interaction to impair CD8+ T cell immunity. hnRNP A1 is identified as an upstream regulator of miR‐18a processing.
Zhao Wang +19 more
wiley +1 more source
Ant colony system-based applications to electrical distribution system optimization [PDF]
Chapter 16, February ...
Chicco, Gianfranco, Gianfranco Chicco
core +1 more source
A Hybrid Ant Colony and Cuckoo Search Algorithm for Route Optimization of Heating Engineering
The development of remote sensing and intelligent algorithms create an opportunity to include ad hoc technology in the heating route design area. In this paper, classification maps and heating route planning regulations are introduced to create the ...
Yang Zhang +6 more
doaj +1 more source

