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|Title:||Optimize your process plant for more than one objective|
|Citation:||Lee, E.S.Q.,Ang, A.Y.W.,Rangaiah, G.P. (2008-09-15). Optimize your process plant for more than one objective. Chemical Engineering 115 (9) : 58-64. ScholarBank@NUS Repository.|
|Abstract:||Engineers should increasingly focus on optimizing the process to understand the relationship between various optimization criteria and for several desired objectives simultaneously. The engineer, by using the set of results obtained, would be able to choose an optimal solution specific to his or her unique design or operational goals. There is a growing interest in multi-objective optimization (MOO), which can aim for maximization, minimization, or a combination of both, with one maximization function, and one minimization function. The decision variable can be few or many, and either continuous or accepting only integer or binary values within the respective lower and upper boundaries. The techniques that can be used to solve MOO problems include the evolutionary algorithms, weighting, and interactive methods. Among these, multi-objective evolutionary algorithms have been employed for solving several applications in chemical engineering for several years.|
|Source Title:||Chemical Engineering|
|Appears in Collections:||Staff Publications|
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