Memcomputing 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

A Survey and Discussion of Memcomputing Machines

This paper serves as a review and discussion of the recent works on memcomputing. In particular, the universal memcomputing machine (UMM) and the digital memcomputing machine (DMM) are discussed. We review the memcomputing concept in the dynamical systems framework and assess the algorithms offered for computing NP problems in the UMM and DMM paradigms. We argue that the UMM is a physically imp...

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...