Nanocomputers and swarm intelligence

Solving Fractional Programming Problems based on Swarm Intelligence

This paper presents a new approach to solve Fractional Programming Problems (FPPs) based on two different Swarm Intelligence (SI) algorithms. The two algorithms are: Particle Swarm Optimization, and Firefly Algorithm. The two algorithms are tested using several FPP benchmark examples and two selected industrial applications. The test aims to prove the capability of the SI algorithms to s...

Near - Optimal Tunning of Linear Controllers Based on Genetic Algorithm and Swarm Intelligence: A Flight Control Example

OPTIMAL GROUND MOTION SCALING USING ENHANCED SWARM INTELLIGENCE FOR SIZING DESIGN OF STEEL FRAMES

Dynamic structural responses via time history analysis are highly dependent to characteristics of selected records as the seismic excitation. Ground motion scaling is a well-known solution to reduce such a dependency and increase reliability to the dynamic results. The present work, formulate a twofold problem for optimal spectral matching and performing consequent sizing optimization based on ...

Swarm intelligence abstract pdf

Title of Thesis: SWARM INTELLIGENCE AND STIGMERGY: ROBOTIC IMPLEMENTATION OF FORAGING BEHAVIOR. Mark Russell Edelen.Help Working with Abstracts. This paper gives a broad overview of swarm intelligence in three parts: biological basis, artificial literature and swarm engineering.Engineers Australia members or students. ABSTRACT: This talk provides an introduction to Swarm Intelligence SI, a disc...

Stock Price Prediction using Machine Learning and Swarm Intelligence

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...