A method for solving low-carbon workshop scheduling based on an improved whale optimization algorithm
An optimization algorithm and workshop scheduling technology, applied in computing, computing models, instruments, etc., can solve problems such as slow convergence speed, low efficiency, and incomplete diversity of initialization populations.
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[0163] The manufacturing workshop produces 6 products, and there are 7 processing equipment in the workshop. The purpose of the solution is to minimize the weighted sum of the cost of completion and the cost of carbon emission consumption. The relevant data are shown in Table 2.
[0164] Table 2 Processing information table
[0165]
[0166] In order to verify the effectiveness of the improved whale optimization algorithm, according to the basic genetic algorithm, the basic whale optimization algorithm and the improved whale optimization algorithm, use MATLAB programming to solve the example and analyze and verify. The simulation environment is: using the MATILAB2016a programming language, under the Windows 10 operating system , configured as 8G memory; CPU R5 main frequency 3.10GHz computer.
[0167] The weight factor ω in the objective function formula 1 and ω 2 It can be modified according to the requirements of the enterprise itself. In this embodiment, it is set to ...
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