Acknowledgements The production of this Toolbox was made possible by a UK SERC grant on " Genetic Algorithms in Control Systems Engineering " (GR/J17920). Many thanks are due to Hartmut Pohlheim, a visiting researcher from the Technical University Ilmenau, Germany, for the support for real-valued genetic algorithms and his hard work in coding and revising many of the routines in this Toolbox. T...

Non-linear dynamical systems are difficult to control due to the model uncertainties and external disturbances that may occur in these systems. This paper addresses the problem of identification using dynamic neural networks (DNNs) based on genetic algorithm (GA) for nonlinear dynamic systems. Four different dynamic neural networks are used for identification of the same nonlinear dynamic syste...

This paper approaches Genetic algorithm for multi objective optimization of the multi item multi period procurement lot sizing problem. A mathematical model is developed to simulate raw material procurement lot sizing analysis for a real time valve manufacturing company. Model takes into account the constraints imposed by the budget, maximum order quantity and limited warehouse space. The analy...

This paper presents an energy management strategy to supply residential load by hybrid fuel cell power plant (FCPP). Economical fuel cell (FC) model includes thermal load, local electrical load, operational cost, startup cost and different tariffs on electricity during the day hour is discussed.  Several Strategies have been presented for supplying residential load (electrical and thermal loads...

Assembly plays an important role in any production system as it constitutes a significant portion of the lead time and cost of a product. Virtual computer-integrated manufacturing (VCIM) system is a modern production system being conceptually developed to extend the application of traditional computer-integrated manufacturing (CIM) system to global level. Assembly scheduling in VCIM systems is ...

Job shop scheduling problem is a typical NP-hard problem. An inventory based two-objective job shop scheduling model was proposed in this paper, in which both the make-span (the total completion time) and the inventory capacity were as objectives and were optimized simultaneously. To solve the proposed model more effectively, some tailor made genetic operators were designed by making full use o...

diversion dams in order to raise the water level of river and conveys of water into the main canal irrigation network is designed. if the dimensions of different parts of the diversion dam be considered large, stability will be supplying, but due to the increase volume of materials, construction costs will be more. design engineer must choose sections of dam that had least amount of materials a...

In this paper, we present a simulated annealing (SA) and a genetic algorithm (GA) based on heuristics for scheduling problem of jobs in virtual cellular manufacturing systems. A virtual manufacturing cell (VMC) is a group of resources that is dedicated to the manufacturing of a part family. Although this grouping is not reflected in the physical structure of the manufacturing system, but machin...

Cancer is one of the most commonly affected diseases in the developed countries. Early diagnosis plays a significant role in curing cancer patients. Every year, thousands of people die due to Lung cancer. In this paper, a novel Candidate group search algorithm based on evolutionary approach is proposed. This optimization algorithm allows assistant doctors to identify the nodules present in the ...