In this paper we describe the design of hybrid fuzzy predictive control based on a genetic algorithm (GA). We also present a simulation test of the proposed algorithm and a comparisonwith two hybrid predictive controlmethods: Explicit Enumeration and Branch and Bound (BB). The experiments involved controlling the temperature of a batch reactor by using two on/off input valves and a discrete-pos...

We model the safety stock placement problem in general acyclic supply chain networks as a project scheduling problem, for which the constraint programming (CP) techniques are both effective and efficient in finding high quality solutions. We further integrate CP with a genetic algorithm (GA), which improves the CP solution quality significantly. The performance of our hybrid CP–GA algorithm is ...

The covalent linkage of graphene acid (GA) with amine-functionalized UiO-66-NH 2 via an amide bond. resultant hybrid GA@UiO-66-NH acts as a chemiresistive CO sensor wth significant efficiency owing to its unique structural features.

In this paper, vector quantizer optimization is accomplished by a hybrid evolutionary method, which consists of a modified genetic algorithm (GA) with a local optimization module given by an accelerated version of the K-means algorithm. Simulation results regarding image compression based on VQ show that the codebooks optimized by the proposed method lead to reconstructed images with higher pea...

The creation of individual 3D models to include within a virtual world can be a time-consuming process. The standard approach to streamline this is to use procedural modeling tools, where the user adjusts a set of parameters that defines the tree. We have designed GenTree, an interactive system that uses a genetic algorithms (GA) approach to evolve procedural 3D tree models. GenTree is a hybrid...

This paper proposes genetic algorithms (GAs) approach to feature discretization and the determination of connection weights for artificial neural networks (ANNs) to predict the stock price index. Previous research proposed many hybrid models of ANN and GA for the method of training the network, feature subset selection, and topology optimization. In most of these studies, however, GA is only us...

This paper compares the accuracy of three hybrid intelligent systems in forecasting ten international stock market indices; namely the CAC40, DAX, FTSE, Hang Seng, KOSPI, NASDAQ, NIKKEI, S&P500, Taiwan stock market price index, and the Canadian TSE. In particular, genetic algorithms (GA) are used to optimize the topology and parameters of the adaptive time delay neural networks (ATNN) and the t...

Nowadays, Evolutionary Algorithms like Genetic Algorithms (GA) are used for the cryptanalysis of many well known ciphers. However most of the Cryptanalytic attacks using GA are sequential. We have taken Knapsack Cipher for our study. This paper proposes a hybrid technique that uses both Genetic Algorithm and Hill climbing in attacking the Cipher. A Parallel implementation of the proposed techni...

Ga adsorption on the Si(112) surface results in the formation of pseudomorphic Ga atom chains. Compressive strain in these atom chains is relieved via creation of adatom vacancies and their self-organization into meandering vacancy lines. The average spacing between these line defects can be controlled, within limits, by adjusting the chemical potential mu of the Ga adatoms. We derive a lattice...