Research on particle swarm optimization based clustering: a systematic review of literature and techniques
Optimization based pattern discovery has emerged as an important field in knowledge
discovery and data mining (KDD), and has been used to enhance the efficiency and …
discovery and data mining (KDD), and has been used to enhance the efficiency and …
Editorial survey: swarm intelligence for data mining
This paper surveys the intersection of two fascinating and increasingly popular domains:
swarm intelligence and data mining. Whereas data mining has been a popular academic …
swarm intelligence and data mining. Whereas data mining has been a popular academic …
A survey of evolutionary computation for association rule mining
Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …
in data mining. It has achieved great success in a plethora of applications such as market …
[PDF][PDF] Particle swarm optimization: technique, system and challenges
ABSTRACT Particle Swarm Optimization (PSO) is a biologically inspired computational
search and optimization method developed in 1995 by Eberhart and Kennedy based on the …
search and optimization method developed in 1995 by Eberhart and Kennedy based on the …
ACROA: artificial chemical reaction optimization algorithm for global optimization
Heuristic based computational algorithms are densely being used in many different fields
due to their advantages. When investigated carefully, chemical reactions possess efficient …
due to their advantages. When investigated carefully, chemical reactions possess efficient …
A systematic assessment of numerical association rule mining methods
In data mining, the classical association rule mining techniques deal with binary attributes;
however, real-world data have a variety of attributes (numerical, categorical, Boolean). To …
however, real-world data have a variety of attributes (numerical, categorical, Boolean). To …
A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm
Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …
[HTML][HTML] Firefly algorithm approach based on chaotic Tinkerbell map applied to multivariable PID controller tuning
Nowadays, a variety of controllers used in process industries are still of the proportional–
integral–derivative (PID) types. PID controllers have the advantage of simple structure, good …
integral–derivative (PID) types. PID controllers have the advantage of simple structure, good …
A novel hybrid GA–PSO framework for mining quantitative association rules
Discovering association rules is a useful and common technique for data mining in which
dependencies among datasets are shown. Discovering the rules from continuous numeric …
dependencies among datasets are shown. Discovering the rules from continuous numeric …
Population classification in fire evacuation: A multiobjective particle swarm optimization approach
In an emergency evacuation operation, accurate classification of the evacuee population
can provide important information to support the responders in decision making; and …
can provide important information to support the responders in decision making; and …