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RESEARCH ARTICLE desirability based multi objective approach for the virtual screening discovery of broad spectrum antigastric cancer agents Unearths PerezCastillo1×, Amine SanchezRodrguez2, Eduardo
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How to fill out a desirability-based multi objective

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How to fill out a desirability-based multi objective

01
Identify the objectives that need to be balanced or optimized in the decision-making process.
02
Define the desirability function for each objective, which assigns a numerical value representing the desirability of achieving a certain level of that objective.
03
Determine the trade-offs between the objectives and set the weights for each objective based on their relative importance.
04
Evaluate the desirability-based multi objective using mathematical models or software tools to find the best possible solution.

Who needs a desirability-based multi objective?

01
Decision-makers who are faced with complex problems that involve multiple conflicting objectives and need a systematic approach to make informed decisions.
02
Researchers and engineers working on optimization problems in various fields such as engineering, economics, and operations research.
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A desirability-based multi objective is a methodology used for optimizing multiple objectives by assigning desirability values to each objective and finding the combination that maximizes overall desirability.
Businesses or individuals who are seeking to optimize multiple objectives in a systematic way may choose to use a desirability-based multi objective approach.
To fill out a desirability-based multi objective, one must first determine the objectives to be optimized, assign desirability values to each objective, and then use mathematical techniques to find the optimal solution.
The purpose of a desirability-based multi objective is to help decision makers make informed choices by considering multiple objectives and their relative importance.
The information reported on a desirability-based multi objective includes the objectives being optimized, the desirability values assigned to each objective, and the final solution that maximizes overall desirability.
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