Results 111 to 120 of about 73,326 (287)
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo +5 more
wiley +1 more source
Tuning PID Controller Using Multiobjective Ant Colony Optimization
Applied Computational Intelligence and Soft Computing, 2012 This paper treats a tuning of PID controllers method using multiobjective ant colony optimization. The design objective was to apply the ant colony algorithm in the aim of tuning the optimum solution of the PID controllers (Kp, Ki, and Kd) by minimizing ...
Ibtissem Chiha +2 more
doaj +1 more source
Multiple Ant Colony Optimization Based on Pearson Correlation Coefficient
IEEE Access, 2019 Ant Colony Optimization algorithms have been successfully applied to solve the Traveling Salesman Problem (TSP). However, they still have a tendency to fall into local optima, mainly resulting from poor diversity, especially in those TSPs with a lot of ...
Hongwei Zhu, Xiaoming You, Sheng Liu
doaj +1 more source
Research on Hydraulic Manifold Block Hole Routing Optimization Based on Improved Ant Colony Algorithm [PDF]
, 2015 Lile He, Ze Li, Zhijie Guo
openalex +1 more source
Ant Colony System Optimization. [PDF]
The Journal of Object Technology, 2009 Successful heuristic algorithms for solving combinatorial optimization problems have mimicked processes observed in nature. Two highly successful families of algorithms that do this are simulated annealing and genetic algorithms. Here, a third family of algorithms, ant colony optimization is explored and implemented in C#.
openaire +1 more source
A DISTRIBUTED APPROACH TO ANT COLONY OPTIMIZATION [PDF]
Swarm Intelligence(SI) is the emergent collective intelligence of groups of simple agents. Economy is an example of SI. Simulating an economy using Ant Colony algorithms would allow prediction and control of fluctuations in the complex emergent behavior ...
Eng. Sorin Ilie Ph. D Student +1 more
core
A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie +5 more
wiley +1 more source
D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving Word Sense Disambiguation [PDF]
, 2014 Word sense disambiguation (WSD) is a problem in the field of computational linguistics given as finding the intended sense of a word (or a set of words) when it is activated within a certain context.
Abualhaija, Sallam +1 more
core
Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong +4 more
wiley +1 more source
An Optimized Ant System For Clustering With Elitist Ant And Local Search
ITM Web of Conferences, 2016 Clustering analysis is an important field in data mining, and also one of the current research hotspots in computer science. This paper focus on some classical data clustering algorithms and swarm intelligence, especially ant colony optimization, trying ...
Li Ming-Pan, Yao Min
doaj +1 more source