Grey Wolf Optimizer for Parameter Estimation of Enzymatic Reaction in Biodiesel Synthesis
نویسندگان
چکیده
منابع مشابه
Grey Wolf Optimizer
This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting, searching for prey, enc...
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Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of the metaheuristic algorithms with poor exploration and exploitation. In this paper, exploration and ...
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Lipases offer interesting perspectives as biocatalysts for the biodiesel synthesis, though their application is still limited by the poor stability of the enzyme at the operating conditions of industrial interest. In order to overcome this bottleneck, the inactivating effect of specific components of the methanolysis reacting system has been characterised, to develop a rational stabilization st...
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In this paper, a variant of Grey Wolf Optimizer (GWO) that uses reinforcement learning principles combined with neural networks to enhance the performance is proposed. The aim is to overcome, by reinforced learning, the common challenges of setting the right parameters for the algorithm. In GWO, a single parameter is used to control the exploration/exploitation rate which influences the perform...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2019
ISSN: 1757-899X
DOI: 10.1088/1757-899x/546/5/052005