Results 31 to 40 of about 4,109,390 (219)
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
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
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 +3 more sources
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
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
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
Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B. +3 more
core +1 more source
An Improvement of a Mapping Method Based on Ant Colony Algorithm Applied to Smart Cities
The ant colony algorithm has been widely used in the field of data analysis of smart cities. However, the research of the traditional ant colony algorithm is more focused on one-to-one scenarios and there is insufficient research on many-to-one scenarios.
Kaiming Xu +3 more
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

