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Job shop scheduling systems are widely employed to optimise the efficiency of machine utilisation in the manufacturing industry, by searching the most cost‐effective permutation of job operations based on the cost of each operation on each compatible machine and the relations between job operations. Such systems are paralysed when the cost of operations are not predictable led by the involvement of...
In this paper a combination of Genetic Algorithm (GA) and a modified version of a very recent and computationally efficient approach to non-dominated sort called Efficient Non-dominated Sorting (ENS) has been introduced to solve the Multi-Objective Job Shop Scheduling Problem (MO-JSSP). Genetic algorithm was used to lead the search towards the Pareto optimality whilst an Efficient Non-dominated Sorting...
This paper presents an analytical model for predicting the dynamic characteristics of composite wind turbine blades. In this model, the governing equations of motion are derived using Hamiltion's principle and are solved by using extended Galerkin's method. This model is capable of predicting natural frequencies of composite beams with arbitrary single-cell cross sections. For various layup configurations,...
This paper presents an analytical model for predicting the dynamic characteristics of composite wind turbine blades. In this model, the governing equations of motion are derived using Hamiltion's principle and are solved by using extended Galerkin's method. This model is capable of predicting natural frequencies of composite beams with arbitrary single-cell cross sections. For various layup configurations,...
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