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In the present paper we present a control system of robotic shift in hybrid vehicles that utilizes fussy logic as well as optimization techniques (genetic algorithms) aimed at improving, with the automatic choice of the shifting, the objective-functions previously chosen (minimum consumption, suitable dynamic performances). Following the working out of a model in Simulink environment, which is suitable...
This paper presents a genetic based technique to select the optimal inventory levels set-points in a supply chain (SC) for distribution. The problem to find the right set-points for the nodes of a supply chain is extremely important when the chain is managed by an automatic control. In the paper, genetic algorithms (GA) are used to search the optimal level of set-points assuming a hypothetic future...
Due to the widespread availability of the Internet, large scale distributed projects in manufacturing are becoming popular. Besides resource constraints, there exist precedence constraints among activities within each project. This paper presents a hybrid genetic algorithm to solve the resource-constrained multi-project scheduling problem (RCMPSP), which is well known NP-hard problem. Objectives described...
Temporal correctness is crucial for the dependability of real-time control systems. A problem with testing such systems is the dependency on the execution orders of tasks. Mutation-based testing criteria have been proposed to determine which execution orders need to be exercised to verify that real-time systems are timely. For flexible control systems, timeliness in itself may only be relevant for...
In this paper, authors present a new design method for pulse width modulation inverters in microturbines by using a multiobjective genetic algorithm. The design problem is converted to an equivalent optimization problem, and then a multiobjective genetic algorithm is adopted to find a solution. The genetic algorithm is proposed to design a fuzzy controller. In this GA approach, an individual is constructed...
In this paper a mathematical model and a solution for the pump scheduling problem based on genetic algorithms is presented. The main objective is the reduction of the electricity costs of the water department for the pumping effort. The constraints are such as to maintain strategic security and reliability limits for each water reservoir. The reduction of the peaks during a scheduling period is equivalent...
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