Results 11 to 20 of about 15,432 (250)
A memetic ant colony optimization algorithm for the dynamic travelling salesman problem [PDF]
, 2010 Copyright @ Springer-Verlag 2010.Ant colony optimization (ACO) has been successfully applied for combinatorial optimization problems, e.g., the travelling salesman problem (TSP), under stationary environments.
Yang, S +5 more
core +5 more sources
Path planning of multiple UAVs using MMACO and DE algorithm in dynamic environment
Measurement + Control, 2023 Cooperative path planning of multiple unmanned aerial vehicles is a complex task. The collision avoidance and coordination between multiple unmanned aerial vehicles is a global optimal issue.
Zain Anwar Ali, Han Zhangang, Di Zhengru
doaj +1 more source
Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
Wasit Journal of Computer and Mathematics Science, 2023 The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Roni La’biran, Muhammad Kristiawan
doaj +1 more source
An improved ant colony optimization algorithm for wire optimization
Bulletin of Electrical Engineering and Informatics, 2020 Wire optimization has become one of the greatest challenges in today’s circuit design. This paper presents a method for wire optimization in circuit routing using an improved ant colony optimization with Steiner nodes (ACOSN) algorithm. Circuit delay and power dissipation are primarily affected by the length of the routed wire.
Ho Joon Jim, Fazida Hanim Hashim
openaire +3 more sources
Ant Colony Optimization Algorithm for Workforce Planning [PDF]
Annals of Computer Science and Information Systems, 2017 The workforce planning helps organizations to optimize the production process with aim to minimize the assigning costs. A workforce planning problem is very complex and needs special algorithms to be solved. The problem is to select set of employers from a set of available workers and to assign this staff to the jobs to be performed.
Stefka Fidanova +4 more
openaire +1 more source
An ant colony genetic fusion routing algorithm based on soft define network
IET Networks, EarlyView., 2022 Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley +1 more source
IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Runtime Analysis of a Simple Ant Colony Optimization Algorithm [PDF]
Algorithmica, 2006 Reihe CI;200 ...
Frank Neumann 0001, Carsten Witt
openaire +9 more sources
Orthogonal methods based ant colony search for solving continuous optimization problems [PDF]
, 2008 Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation.
Jun Zhang +5 more
core +1 more source
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.
Brookhouse, James +3 more
core +1 more source