Bi-level energy optimization model in smart integrated engineering systems using WSN

Abstract

Based on fuzzy relational inequality, a bi-level linear programme optimizes the visible light brightness and operating costs of access points in a wireless transmission station system. Consider the first computing problem utilizing a minimum solution matrix. A convex infinite set is generated by a restricted number of closed intervals. Second, computing is an objective-domain nonlinear mathematical optimization problem. A multi-objective optimization problem is used to solve the second programming challenge. The constraint set must be used. Use discrete optimization techniques and branch-and-bound procedures for “digital integer linear programming”. Our technique has been shown to be both practical and successful. The programming complexity increases as the organization expands.

Keywords

• Fuzzy interactions
• Bi-level processing
• Max-product compilation
• Asymmetric optimization
• Implementation of the minimal max-norm matrix are all topics covered