Results 61 to 70 of about 15,432 (250)
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
doaj +1 more source
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
openaire +3 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
wiley +1 more source
Improving the interpretability of classification rules discovered by an ant colony algorithm. [PDF]
, 2013 The vast majority of Ant Colony Optimization (ACO) al- gorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt- MinerPB algorithm, where
Otero, Fernando E.B. +3 more
core +1 more source
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
doaj +1 more source
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 +3 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
cAnt-Miner: an ant colony classification algorithm to cope with continuous attributes [PDF]
, 2008 This paper presents an extension to Ant-Miner, named cAnt-Miner (Ant-Miner coping with continuous attributes), which incorporates an entropy-based discretization method in order to cope with continuous attributes during the rule construction process.
Otero, Fernando E.B. +5 more
core +1 more source
Improved Ant Algorithms for Software Testing Cases Generation
The Scientific World Journal, 2014 Existing ant colony optimization (ACO) for software testing cases generation is a very popular domain in software testing engineering. However, the traditional ACO has flaws, as early search pheromone is relatively scarce, search efficiency is low ...
Shunkun Yang, Tianlong Man, Jiaqi Xu
doaj +1 more source