Proceedings ArticleDOI
A novel binary particle swarm optimization
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TLDR
This algorithm is shown to be a better interpretation of continuous PSO into discrete PSO than the older versions and a number of benchmark optimization problems are solved using this concept and quite satisfactory results are obtained.Abstract:
Particle swarm optimization (PSO) as a novel computational intelligence technique, has succeeded in many continuous problems. But in discrete or binary version there are still some difficulties. In this paper a novel binary PSO is proposed. This algorithm proposes a new definition for the velocity vector of binary PSO. It will be shown that this algorithm is a better interpretation of continuous PSO into discrete PSO than the older versions. Also a number of benchmark optimization problems are solved using this concept and quite satisfactory results are obtained.read more
Citations
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Journal ArticleDOI
Particle swarm optimisation for feature selection in classification
TL;DR: Experiments on twenty benchmark datasets show that PSO with the new initialisation strategies and/or the new updating mechanisms can automatically evolve a feature subset with a smaller number of features and higher classification performance than using all features.
Journal ArticleDOI
Swarm Intelligence Algorithms for Feature Selection: A Review
TL;DR: A unified SI framework is proposed and used to explain different approaches to FS and guidelines on how to develop SI approaches for FS are provided to support researchers and analysts in their data mining tasks and endeavors.
Proceedings ArticleDOI
Intelligent Scheduling of Hybrid and Electric Vehicle Storage Capacity in a Parking Lot for Profit Maximization in Grid Power Transactions
TL;DR: In this article, the authors proposed an intelligent method for scheduling usage of available energy storage capacity from plug-in hybrid electric vehicles (PHEV) and electric vehicles(EV) The batteries on these vehicles can either provide power to the grid when parked, known as V2G concept or take power from the grid to charge the batteries on the vehicles.
Journal ArticleDOI
A binary ABC algorithm based on advanced similarity scheme for feature selection
TL;DR: A binary artificial bee colony (ABC) algorithm for the feature selection problems is proposed by integrating evolutionary based similarity search mechanisms into an existing binary ABC variant, which can eliminate irrelevant and redundant features more effectively than the other approaches.
Book ChapterDOI
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning
TL;DR: An effective wrapper framework incorporating the evaluation measure (AUC and G-mean) into the objective function of cost sensitive SVM directly to improve the performance of classification by simultaneously optimizing the best pair of feature subset, intrinsic parameters and misclassification cost parameters is presented.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Proceedings ArticleDOI
A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Proceedings ArticleDOI
A discrete binary version of the particle swarm algorithm
TL;DR: The paper reports a reworking of the particle swarm algorithm to operate on discrete binary variables, where trajectories are changes in the probability that a coordinate will take on a zero or one value.
Book
Fundamentals of Computational Swarm Intelligence
TL;DR: This book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts and it will show the best book collections and completed collections.
Journal Article
Fuzzy Discrete Particle Swarm Optimization for Solving Travel Salesman Problem
TL;DR: A modified particle swarm optimization (PSO) algorithm was proposed to solve a typical combinatorial optimization problem: traveling salesman problem (TSP), which is a well-known NP-hard problem.