Results 51 to 60 of about 4,109,390 (219)
Application of an Improved Ant Colony Algorithm in TSP Problem Solving
Chemical Engineering Transactions, 2016 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
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From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.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
A Hybrid Ant Colony and Cuckoo Search Algorithm for Route Optimization of Heating Engineering
Energies, 2018 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
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SamACO: Variable Sampling Ant Colony Optimization Algorithm for Continuous Optimization [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010 An ant colony optimization (ACO) algorithm offers algorithmic techniques for optimization by simulating the foraging behavior of a group of ants to perform incremental solution constructions and to realize a pheromone laying-and-following mechanism.
Xiaomin Hu +4 more
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Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Multi-objective performance optimization of ORC cycle based on improved ant colony algorithm
Open Physics, 2019 To solve the problem of multi-objective performance optimization based on ant colony algorithm, a multi-objective performance optimization method of ORC cycle based on an improved ant colony algorithm is proposed.
He Rong, Wei Xinli, Hassan Nasruddin
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Traffic signal optimization using Ant Colony Algorithm
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012 Traffic signal control is an effective way to improve the efficiency of traffic networks and reduce users' delays. Ant Colony Optimization (ACO) is a meta-heuristic algorithm based on the behavior of ant colonies searching for food. ACO has successfully been employed to solve many complicated combinatorial optimization problems and its stochastic and ...
David Renfrew, Xiao-Hua Yu
openaire +4 more sources
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
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An Improved Chemical Reaction Optimization Algorithm Based on Ant Colony Algorithm
Chemical Engineering Transactions, 2018 With the rapid development of computer technology, more and more research organizations and enterprises have turned their attentions from artificial intelligence algorithm to multi-task scheduling.
Lei Song
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The Collective Power of Bacteria as a Blueprint for Emergent Intelligence
Advanced Intelligent Systems, EarlyView.Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee +2 more
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