Press Release on Genetic Algorithm Research: September-2018

A genetic algorithm predicts the vertical growth of cities

The increase of skyscrapers in a town resembles the event of some living systems. Researchers have created Associate in Nursing biological process genetic formula that, on the premise of the historical Associate in Nursing economic information of a geographical region, will predict what its skyline may appear as if within the coming back years. the strategy has been applied with success to the thriving Minato Ward, in Tokyo. [1]

An adaptive genetic algorithm for a dynamic single-machine scheduling problem

Nowadays, industries modify a large variety of things and/or perturbations that endanger the producing productivity. historically, producing management systems are chargeable for managing the producing programming and execution, as these have the aptitude of maintaining the assembly operations no matter a given perturbation. Still, the challenge of those systems is to attain associate optimum performance once the perturbations occur. For this reason, producing management systems should incorporate a mechanism with intelligent capabilities to appear for optimum performance and operation reactivity no matter any situation. This paper proposes a generic management strategy for a producing system for piloting the execution of a dynamic programming downside, considering a brand new job arrival because of the producing perturbation. [2]

Automatic Live Facial Expression Detection Using Genetic Algorithm with Haar Wavelet Features and SVM

Facial expression detection (FED) and extraction show the foremost necessary role in face recognition. during this analysis, we have a tendency to planned a brand new formula for automatic live FED victimization radial basis operate support Haar riffle remodel is employed for feature extraction and RBF-SVM for classification. Edges of the facial image area unit detected by genetic formula and fuzzy-C-means. The experimental results used CK+ info and JAFEE info for countenance. the opposite info used for face detection method specifically FEI, LFW-a, CMU + MIT and own database. during this formula, the face is detected by fdlibmex technique however we have a tendency to improved the restrictions of this formula victimization distinction sweetening. within the pre-processing stage, apply median filtering for removing noise from a picture. [3]

Spectral Irradiance Estimation of Light Emitting Diode Solar Simulator Based on Genetic Algorithm

This study aims to realize a detailed spectral match to the AM1.5 star spectrum from four hundred nm to 1100 nm. LEDs area unit elect to realize this target because of its wide utilization in markets; a massive vary of LED wavelengths is out there from ultraviolet light through visible to IR. The spectral match will increase the measure of uncertainty considerably. star machine lighting system style supported LED as a lightweight supply solely is conferred. choosing the desired LEDs combination to match the AM one.5 exploitation ancient strategies are extremely tough. [4]

Genetic Algorithm Based Hybrid Approach to Solve Optimistically, Most-likely and Pessimistic Scenarios of Fuzzy Multi-objective Assignment Problem Using Exponential Membership Function

This paper mentioned a genetic formula primarily based hybrid approach to unravel completely different situation (optimistic situation, most-likely situation associate degreed demoralized scenario) of fuzzy multi-objective assignment drawback (FMOAP) victimization an exponential membership perform during which constant of the target perform is represented by triangular prospects distribution (TDP). Moreover, we used the α-level sets to classify the fuzzy judgment for Decision maker (DM) to optimize different scenario of fuzzy objective functions. we tend to used a fuzzy technique to unravel multi-objective improvement drawback during which DM is needed to specify the indefinite aspiration level as per his/her preference and the genetic formula is employed to unravel the 0-1 improvement drawback for various selections of form parameter within the exponential membership perform. [5]

Reference

[1] A genetic algorithm predicts the vertical growth of cities

Date: May 25, 2018, Source: FECYT – Spanish Foundation for Science and Technology (web link)

[2] An adaptive genetic algorithm for a dynamic single-machine scheduling problem

Jimenez J, Gonzalez-Neira E, Zambrano-Rey G. An adaptive genetic algorithm for a dynamic single-machine scheduling problem. Management Science Letters. 2018;8(11):1117-32. (web link)

[3] Automatic Live Facial Expression Detection Using Genetic Algorithm with Haar Wavelet Features and SVM

Kumar S, Singh S, Kumar J. Automatic Live Facial Expression Detection Using Genetic Algorithm with Haar Wavelet Features and SVM. Wireless Personal Communications.:1-9. (web link)

[4] Spectral Irradiance Estimation of Light Emitting Diode Solar Simulator Based on Genetic Algorithm

Atia DM, El-Madany HT, Eliwa A, Samir A, Zahran M, El-Metwally K, Mahgoub A. Spectral Irradiance Estimation of Light Emitting Diode Solar Simulator Based on Genetic Algorithm. Research Journal of Applied Sciences, Engineering, and Technology. 2018 Jun 15;15(6):227-35. (web link)

[5] Genetic Algorithm Based Hybrid Approach to Solve Optimistically, Most-likely and Pessimistic Scenarios of Fuzzy Multi-objective Assignment Problem Using Exponential Membership Function

Anita Ravi Tailor1* and Jayesh M. Dhodiya1

1Sardar Vallabhbhai National Institute of Technology, Surat-395007, Gujarat, India. (web link)