scholarly journals Genetic algorithm for large-size multi-stage batch plant scheduling

2007 ◽  
Vol 62 (5) ◽  
pp. 1504-1523 ◽  
Author(s):  
Yaohua He ◽  
Chi-Wai Hui
Keyword(s):  
Genetic Algorithm ◽  
Large Size ◽  
Multi Stage ◽  
Batch Plant

scholarly journals The Combination of Morphological and Evolutionary Algorithms for Graph-based Pathfinding on Maps with Complex Topologies

2019 ◽  
Author(s):  
Игорь Савостин ◽  
Igor' Savostin ◽  
Андрей Трубаков ◽  
Andrey Trubakov
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Algorithms ◽  
Real Data ◽  
Combinatorial Complexity ◽  
Ant Algorithm ◽  
Stochastic Algorithms ◽  
Morphological Operations ◽  
Path Finding ◽  
Large Size ◽  
Dijkstra's Algorithm

One of the difficult problems to solve has always been and still remains the problem of finding a path either in a graphic chart or a graphic maze of large size. The main problem is that traditional algorithms require a lot of time due to combinatorial complexity. At the same time, both classical algorithms based on the search of variants (such as Dijkstra's algorithm, A*, ARA*, D* lite), and stochastic algorithms (ant algorithm, genetic), alongside with algorithms based on morphology (wave) are not always able to achieve the goal. The article proposes a new modification of the path-finding algorithm, which is a hybrid of the following: the morphological operations on graphic chart approach and genetic algorithm having a useful property of elasticity in time. The experiments (both synthetic and real data) have shown the feasibility of the proposed idea and its comparison with the most commonly used algorithms of contemporaneity.

scholarly journals Ecodesign of Batch Processes: Optimal Design Strategies for Economic and Ecological Bioprocesses

2007 ◽  
Vol 5 (1) ◽  
Author(s):  
Adrian Dietz ◽  
Catherine Azzaro Pantel ◽  
Luc Guy Pibouleau ◽  
Serge Domenech
Keyword(s):  
Genetic Algorithm ◽  
Discrete Event ◽  
Operating Conditions ◽  
Batch Processes ◽  
Stochastic Algorithm ◽  
Plant Design ◽  
Environment Design ◽  
Design Strategies ◽  
Design Variables ◽  
Batch Plant

This work deals with the multicriteria cost-environment design of multiproduct batch plants, where the design variables are the equipment item sizes as well as the operating conditions. The case study is a multiproduct batch plant for the production of four recombinant proteins. Given the important combinatorial aspect of the problem, the approach used consists in coupling a stochastic algorithm, indeed a Genetic Algorithm (GA) with a Discrete Event Simulator (DES). To take into account the conflicting situations that may be encountered at the earliest stage of batch plant design, i.e. compromise situations between cost and environmental consideration, a Multicriteria Genetic Algorithm (MUGA) was developed with a Pareto optimal ranking method. The results show how the methodology can be used to find a range of trade-off solutions for optimizing batch plant design.

scholarly journals Exceptional Multi Stage Mineralization of Secondary Minerals in Cavities of Flood Basalts from the Deccan Volcanic Province, India

Minerals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 351 ◽  
Author(s):  
Berthold Ottens ◽  
Jens Götze ◽  
Ralf Schuster ◽  
Kurt Krenn ◽  
Christoph Hauzenberger ◽  
...  
Keyword(s):  
Lava Flows ◽  
Stage Iii ◽  
Deccan Volcanic Province ◽  
Flood Basalts ◽  
Time Intervals ◽  
Volcanic Province ◽  
Secondary Minerals ◽  
Large Size ◽  
Multi Stage ◽  
Ar Geochronology

Flood basalts of the Deccan Volcanic Province erupted between about 67.5 to 60.5 Ma ago and reached a thickness of up to 3500 m. The main part consists of compound and simple lava flows with a tholeiitic composition erupted within 500,000 years at about 65 Ma. Within the compound lava flows, vesicles and cavities are frequent. They are filled by secondary minerals partly of well development and large size. This study presents data on the secondary mineralization including detailed field descriptions, optical, cathodoluminescence and SEM microscopy, X-ray diffractometry, fluid inclusions, C and O isotope analyses, and Rb-Sr and K-Ar geochronology. The investigations indicate a multistage precipitation sequence with three main stages. During stage I clay minerals and subsurface filamentous fabrics (SFFs), of probably biogenic origin, formed after the lava flows cooled down near to the Earth’s surface. In stage II, first an assemblage of calcite (I) and zeolite (I) (including mordenite, heulandite, and stilbite) as well as plagioclase was overgrown by chalcedony, and finally a second calcite (II) and zeolite (II) generation developed by burial metamorphism by subsequent lava flows. Stage III is characterized by precipitation of a third calcite (III) generation together with powellite and apophyllite from late hydrothermal fluids. Rb-Sr and K-Ar ages of apophyllite indicate a large time span for stage III. Apophyllite formed within different time intervals from the Paleogene to the early Miocene even within individual lava flows at certain localities. From the Savda/Jalgaon quarry complex, ages cluster at 44–48 Ma and 25–28 Ma, whereas those from the Nashik area are 55–58 Ma and 21–23 Ma, respectively.

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