Results 61 to 70 of about 100,368 (278)
Discovering Regression Rules with Ant Colony Optimization [PDF]
, 2015 The majority of Ant Colony Optimization (ACO) algorithms for data mining have dealt with classification or clustering problems. Regression remains an unexplored research area to the best of our knowledge.
Fayyad U., Janssen F., Quinlan J.
core +1 more source
EUREKA: Physics and Engineering, 2020 A method for determining the contours of objects on complexly structured color images based on the ant colony optimization algorithm is proposed. The method for determining the contours of objects of interest in complexly structured color images based on
H. Khudov +9 more
semanticscholar +1 more source
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
doaj +1 more source
Covalent Reprogramming of Kinase Binders to Modulate Protein Abundance
Advanced Science, EarlyView.Electrophilic remodeling of a broad‐spectrum kinase binder reveals how subtle chemical changes reprogram protein fate. An acrylamide analog of a multi‐kinase binder selectively stabilizes Aurora kinase A (AURKA) by suppressing its ubiquitination, while a short‐linker variant converts this stabilizer into a degrader.
Chen Mozes +4 more
wiley +1 more source
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
doaj +1 more source
Meta-heuristic algorithms in car engine design: a literature survey [PDF]
, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H. +2 more
core +2 more sources
New Ant Colony Optimization Algorithm for the Traveling Salesman Problem
International Journal of Computational Intelligence Systems, 2020 As one suitable optimization method implementing computational intelligence, ant colony optimization (ACO) can be used to solve the traveling salesman problem (TSP).
Wei Gao
semanticscholar +1 more source
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