Results 31 to 40 of about 15,432 (250)
Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows
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
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
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]
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]
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]
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]
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
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
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]
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

