A comparative study of the yield and physical properties of agar-agar from different blends of seaweeds

The agar agar obtained from Gracilaria verrucosa growing in commercial quantities in Chilka Lake, Orissa was found to be having an yield of 23% and gel strength of 41 gm/cm . In order to exploit this agarophyte for the same with other agarophytes like Gelidlella acerosa and Gracilaria edulis in three different proportions was studied

Cohesive Motion Control Algorithm for Formation of Multiple Autonomous Agents

This paper presents a motion control strategy for a rigid and constraint consistent formation that can be modeled by a directed graph whose each vertex represents individual agent kinematics and each of directed edges represents distance constraints maintained by an agent, called follower, to its neighbouring agent. A rigid and constraint consistent graph is called persistent graph. A persistent graph is minimally persistent if it is persistent, and no edge can be removed without losing its persistence. An acyclic (free of cycles in its sensing pattern) minimally persistent graph of Leader-Follower structure has been considered here which can be constructed from an initial Leader-Follower seed (initial graph with two vertices, one is Leader and another one is First Follower and one edge in between them is directed towards Leader) by Henneberg sequence (a procedure of growing a graph) containing only vertex additions. A set of nonlinear optimization-based decentralized control laws for mobile autonomous point agents in two dimensional plane have been proposed. An infinitesimal deviation in formation shape created continuous motion of Leader is compensated by corresponding continuous motion of other agents fulfilling the shortest path criteria

Memetic Differential Evolution Trained Neural Networks For Nonlinear System Identification

Abstract — Several gradient-based approaches such as back-propagation, conjugate gradient and Levenberg Marquardt (LM) methods have been developed for training the neural network (NN) based systems. Still, in some situations, like multimodal cost function, these procedures may lead to some local minima, therefore, the evolutionary algorithms (EAs) based procedures were considered as a promising alternative. In this paper we focus on a memetic algorithm based approach for training the neural networks. We use the memetic algorithm (MA) for training the multilayer perceptrons as applied to nonlinear system identification. The proposed memetic algorithm is an alternative to gradient search methods, such as back-propagation, which have inherent limitations of many local optima. Here we have studied the identification of a nonlinear system using five different algorithms namely Back-propagatio

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Not AvailableThe agar agar obtained from Gracilaria verrucosa growing in commercial quantities in Chilka Lake, Orissa was found to be having an yield of 23% and gel strength of 41 gm/cm . In order to exploit this agarophyte for the same with other agarophytes like Gelidlella acerosa and Gracilaria edulis in three different proportions was studied.Not Availabl