Abstract: Discrete relaxation techniques have proven useful in solving a wide range of problems in digital signal and digital image processing, artificial intelligence, operations research, and ...

Abstract: A new recursive algorithm is introduced to adjust the parameters of an adaptive channel equalizer based on the use one cycle Successive Over-Relaxation (SOR) iteration between two ...

This repository provides a public implementation of the Lagrangian Relaxation Algorithm for network revenue management, originally developed by Prof. Huseyin Topaloglu (2009). Researchers in ...

Inspired by the idea of game learning, this paper studies the Cournot game model of the multi-oligopoly market and studies the realization of the Nash equilibrium by using adaptive differential ...

Noisy intermediate-scale quantum (NISQ) devices impose dual challenges on quantum circuit execution: limited qubit connectivity requires extensive SWAP-gate routing, while time-dependent decoherence ...

ABSTRACT: In this paper, we address bilevel multi-objective programming problems (BMPP) in which the decision maker at each level has multiple objective functions conflicting with each other. Given a ...

ABSTRACT: This study addresses bilevel linear multi-objective problem issues i.e the special case of bilevel linear programming problems where each decision maker has several objective functions ...