Results 31 to 40 of about 15,432 (250)

Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows

open access: yesIEEE Access, 2019
In this paper, we propose a novel ant colony optimization algorithm based on improved brainstorm optimization (IBSO-ACO) to solve the vehicle routing problem with soft time windows.
Libing Wu   +4 more
doaj   +1 more source

Local Field Potential‐Based Programming: A Proof‐of‐Concept Pilot Study

open access: yesNeuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Objectives Programming deep brain stimulation (DBS) is still based on a trial‐and‐error approach, often becoming a time‐consuming process for both treating physicians and patients. Several strategies have been proposed to streamline DBS programming, most of which are preliminary and mainly address Parkinson's disease, a condition readily ...
Alfonso Fasano   +10 more
wiley   +1 more source

Protection Strategy Selection Model Based on Genetic Ant Colony Optimization Algorithm

open access: yesMathematics, 2022
Industrial control systems (ICS) are facing an increasing number of sophisticated and damaging multi-step attacks. The complexity of multi-step attacks makes it difficult for security protection personnel to effectively determine the target attack path ...
Xinzhan Li   +4 more
doaj   +1 more source

Protein Structure Optimization with a "Lamarckian"' Ant Colony Algorithm [PDF]

open access: yesIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013
We describe the LamarckiAnt algorithm: a search algorithm that combines the features of a "Lamarckian" genetic algorithm and ant colony optimization. We have implemented this algorithm for the optimization of BLN model proteins, which have frustrated energy landscapes and represent a challenge for global optimization algorithms.
Mark T. Oakley   +3 more
openaire   +2 more sources

Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]

open access: yes, 2015
Ant-Tree-Miner is a decision tree induction algorithm that is based on the Ant Colony Optimization (ACO) meta- heuristic. Ant-Tree-Miner-M is a recently introduced extension of Ant-Tree-Miner that learns multi-tree classification models.
Otero, Fernando E.B.   +5 more
core   +1 more source

The Automatic Design of Multiobjective Ant Colony Optimization Algorithms [PDF]

open access: yesIEEE Transactions on Evolutionary Computation, 2012
Multiobjective optimization problems are problems with several, typically conflicting, criteria for evaluating solutions. Without any a priori preference information, the Pareto optimality principle establishes a partial order among solutions, and the output of the algorithm becomes a set of nondominated solutions rather than a single one.
Manuel López-Ibáñez 0001   +1 more
openaire   +1 more source

Flexible protein folding by ant colony optimization [PDF]

open access: yes, 2008
Protein structure prediction is one of the most challenging topics in bioinformatics. As the protein structure is found to be closely related to its functions, predicting the folding structure of a protein to judge its functions is meaningful to the ...
Hu, X., Li, Y., Zhang, J.
core   +1 more source

Ant colony optimization model with characterization-based speed and multi-driver for the refilling system in hospital

open access: yesAdvances in Mechanical Engineering, 2017
Different optimization algorithms are used in fast medicine dispensing system to improve the efficiency of refilling. To achieve rapid replenishing of the manipulator and improve efficiency in pharmacy automation system.
Hui Jin   +4 more
doaj   +1 more source

Parameter Prediction Model for Signal Reconstruction Fluctuating Operation State of Chemical Machinery Equipment Based on Ant Colony Algorithm

open access: yesChemical Engineering Transactions, 2018
Exploring structure of parameter prediction model for signal reconstruction fluctuating operation state of chemical machinery equipment based on ant colony algorithm, and optimizing the global performance.
Yuanshao Hou
doaj   +1 more source

Intrusion Detection and Classification Using Ant Colony Optimization Algorithm [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2013
Studies of ant colonies have contributed in abundance to the set of intelligent algorithms. The modeling of pheromone depositing by ants in their search for the shortest paths to food sources resulted in the development of shortest path optimization ...
Mafaz Mohsin Khalil Al-Anezi   +3 more
doaj   +1 more source

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