A Genetic-Algorithms-Based Approach for Programming Linear and Quadratic Optimization Problems with Uncertainty

Table 1

Legend for Figures 1 to 4.

	The constraint 𝑎21𝑥^±1+𝑎22𝑥^±2≤𝑏2 given by interactive binary analysis
	The constraint 𝑎21𝑥^±1+𝑎22𝑥^±2≤𝑏2 given by GAILP
	The constraint 𝑎11𝑥^±1+𝑎12𝑥^±2≤𝑏1
	Objective function line given by interactive binary analysis
	Objective function line given by GAILP