Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Object-Oriented Analysis and Design with Applications (3rd Edition)
Object-Oriented Analysis and Design with Applications (3rd Edition)
Modeling and control of a pilot pH plant using genetic algorithm
Engineering Applications of Artificial Intelligence
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Hi-index | 0.00 |
Process simulators like ASPEN PLUS and HYSYS are coming with theoption of integrating their functions with special purpose programsfor simulation and/or optimisation. However, a comprehensiveaccount of how to do such integration is unavailable in the openliterature. The broad objective of this paper is to describe suchintegration and discuss the benefits through a realistic example.The first part of this paper presents a detailed directive ofbuilding an integrated platform of programming languages likeVisual Basic, C++ and FORTRAN to tap the functions of HYSYS andspecial purpose programs. The second part describes simulating astyrene plant in HYSYS followed by its multi-objective optimisationusing the non-dominated sorting genetic algorithm program inC++.