other Mathematical Modeling and Applications of OR Mathematical Modeling and Applications of OR پژوهشی Original In this paper, we present a new primal-dual predictor-corrector interior-point algorithm for linear optimization problems. In each iteration of this algorithm, we use the new wide neighborhood proposed by Darvay and Takács. Our algorithm computes the predictor direction, then the predictor direction is used to obtain the corrector direction. We show that the duality gap reduces in both predictor and corrector steps. Moreover, we conclude that the complexity bound of this algorithm coincides with the best-known complexity bound obtained for small neighborhood algorithms. Eventually, numerical results show the capability and efficiency of the proposed algorithm. Linear optimization, Interior-point methods, Predictor-corrector methods, Wide neighborhood. 130 145 http://iors.ir/journal/browse.php?a_code=A-10-1422-50&slc_lang=other&sid=1 Hadis Abedi Hadis Abedi hadisa.abd@gmail.com 1111111111 1111111111 Yes Azarbaijan Shahid Madani University Azarbaijan Shahid Madani University Behrouz Kheirfam Behrouz Kheirfam b.kheirfam@azaruniv.ac.ir 1111111111 1111111111 No Azarbaijan Shahid Madani University Azarbaijan Shahid Madani University