Convergence of Interactive Procedures of Multiobjective Optimization and Decision Support

1998 ◽  
pp. 106-127
Author(s):  
Andrzej P. Wierzbicki
Keyword(s):  
Decision Support ◽  
Multiobjective Optimization ◽  
Interactive Procedures

AN INTELLIGENT DECISION SUPPORT BASED ON A SUBTRACTIVE CLUSTERING AND FUZZY INFERENCE SYSTEM FOR MULTIOBJECTIVE OPTIMIZATION PROBLEM IN SERIOUS GAME

2011 ◽  
Vol 10 (05) ◽  
pp. 793-810 ◽  
Author(s):  
I. G. P. ASTO BUDITJAHJANTO ◽  
HAJIME MIYAUCHI
Keyword(s):  
Decision Support ◽  
Multiobjective Optimization ◽  
Optimization Problem ◽  
Fuzzy Inference ◽  
Subtractive Clustering ◽  
Multiobjective Optimization Problem ◽  
Optimal Solutions ◽  
Inference System ◽  
Intelligent Decision ◽  
Intelligent Decision Support

Learning decision making through playing a game is an interesting activity for the decision maker or player. In this paper, a multiobjective optimization problem for economic and emission dispatch in which the player can learn about the tradeoff between fuel cost (economic) and emission problems to achieve optimal decisions is considered. A nonplayer character (NPC) is an entity that is built to provide intelligent decision support for the player. The proposed approach is carried out in two stages for the NPC module: the first stage uses the nondominated sorting genetic algorithm II method to solve the multiobjective optimization problem; this stage produces some optimal solutions. The next stage uses subtractive clustering to cluster optimal solutions; furthermore, these clusters are used to build a fuzzy inference system based on the Mamdani type. In this stage, players can select the best decision offered by the NPC.

Goal-Directed Geometry: Beyond Parametric and Variational Geometry CAD Technologies

1994 ◽  
Author(s):  
David W. Rosen ◽  
Wei Chen ◽  
Stewart Coulter ◽  
Srinivas Vadde
Keyword(s):  
Decision Support ◽  
Multiobjective Optimization ◽  
Computer Aided Design ◽  
Parametric Design ◽  
Geometric Constraints ◽  
Preliminary Design ◽  
Design Problems ◽  
Cad System ◽  
Feature Based Design ◽  
Parameter Values

Abstract Improved computer-aided design tools can significantly impact designer productivity. The ability to formulate and solve “What if” questions is critical in early design stages. In this paper, a new computational framework for preliminary design, called Goal-Directed Geometry, is presented that provides such an exploratory environment for early stages. Tools for parametric geometry, variational modeling, and feature-based design are combined with a multiobjective optimization code to provide robust support for parametric design problems, where parameter values are desired that best meet a set of goals and constraints. Geometric and engineering models of a design are combined into a multiobjective optimization formulation called a Compromise Decision Support Problem, which can be solved by the existing package DSIDES (Decision Support In the Design of Engineering Systems). A prototype CAD system is under development that integrates DSIDES, a geometric modeler, and variational, parametric, and feature capabilities. The system aids a designer in evaluating competing alternatives, common during preliminary design, and in answering “What if” types of questions. Two examples illustrate the use of Goal-Directed Geometry in formulating and solving parametric design problems involving engineering and geometric constraints and goals.

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