Ying Tan, Yuhui Shi, Carlos A Coello Coello's Advances in Swarm Intelligence: 5th International PDF

By Ying Tan, Yuhui Shi, Carlos A Coello Coello

This publication and its spouse quantity, LNCS vol. 8794 and 8795 represent the complaints of the fifth overseas convention on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised complete papers provided have been rigorously reviewed and chosen from 198 submissions. The papers are equipped in 18 cohesive sections, three targeted periods and one aggressive consultation masking all significant subject matters of swarm intelligence study and improvement akin to novel swarm-based seek tools; novel optimization set of rules; particle swarm optimization; ant colony optimization for traveling salesman challenge; synthetic bee colony algorithms; synthetic immune procedure; evolutionary algorithms; neural networks and fuzzy tools; hybrid tools; multi-objective optimization; multi-agent structures; evolutionary clustering algorithms; class tools; GPU-based tools; scheduling and course making plans; instant sensor networks; energy method optimization; swarm intelligence in snapshot and video processing; functions of swarm intelligence to administration difficulties; swarm intelligence for real-world application.

Show description

Read or Download Advances in Swarm Intelligence: 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part II PDF

Best international_1 books

Geographic Information Science: 5th International - download pdf or read online

This e-book constitutes the refereed complaints of the fifth foreign convention on Geographic info Secience, GIScience 2008, held in Park urban, UT, united states, in September 2008. The 24 revised complete papers offered have been conscientiously reviewed and chosen from seventy seven submissions. one of the conventional subject matters addressed are spatial family, geographic dynamics, and spatial info forms.

Learning and Collaboration Technologies. Designing and - download pdf or read online

The two-volume set LNCS 8523-8524 constitutes the refereed lawsuits of the 1st foreign convention on studying and Collaboration applied sciences, LCT 2014, held as a part of the sixteenth overseas convention on Human-Computer interplay, HCII 2014, in Heraklion, Crete, Greece in June 2014, together with thirteen different thematically comparable meetings.

International Perspectives on Chicana/o Studies: "This World - download pdf or read online

This quantity examines how the sector of Chicana/o reviews has constructed to turn into a space of curiosity to students a ways past the us and Spain. hence, the quantity comprises contributions by way of quite a number overseas students and takes the concept that of position as a unifying paradigm. As a fashion of overcoming borders which are either actual and metaphorical, it seeks to mirror the variety and diversity of present scholarship in Chicana/o reviews whereas concurrently highlighting the various and continuously evolving nature of Chicana/o identities and cultures.

Additional info for Advances in Swarm Intelligence: 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part II

Example text

1 Introduction Feature selection is the process of choosing a good subset of relevant features and eliminating redundant ones from an original feature set, which can be perceived as a principal pre-processing tool for solving the classification problem [1]. The main objective of feature selection is to find a minimal feature subset from a set of features with high performance in representing the original features [2]. In classification problems, feature selection is a necessary step due to lots of irrelevant or redundancy features.

In order to find the optimal reduct and improve the performance, a variety of search techniques hybrid with rough set are introduced to address feature selection problems such as genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO). These swarm intelligence based algorithms such as particle swarm and ant colony optimization have been proved to be competitive in rough set attribute reduction fields. However, these algorithms have some disadvantages such as premature convergence in PSO and the performance of the reduct depending on initial parameters in ACO.

Horacio Pacheco-S´anchez3 1 2 Tecnol´ogico de Estudios Superiores de Jocotitl´an, Carretera Toluca-Atlacomulco KM. 8, Col. P. 50100, Toluca, Estado de M´exico 3 Instituto Tecnol´ogico de Toluca Av. Tecnol´ogico s/n Ex-Rancho La Virgen, 52140, Metepec, M´exico Abstract. In this paper we study some of the most common assessment metrics employed to measure the classifier performance on the multi-class imbalanced problems. The goal of this paper is empirically analyzing the behavior of these metrics on scenarios where the dataset contains multiple minority and multiple majority classes.

Download PDF sample

Rated 4.23 of 5 – based on 9 votes