Volume 55 (2023)
Volume 54 (2022)
Volume 53 (2021)
Volume 52 (2020)
Volume 51 (2019)
Volume 50 (2018)
Volume 49 (2017)
Volume 48 (2016)
Volume 47 (2016)
Volume 46 (2015)
Volume 45 (2014)
Volume 44 (2013)
Volume 43 (2009)
Volume 42 (2008)
Volume 41 (2007)
Perfectionism Search Algorithm (PSA): An Efficient Meta-Heuristic Optimization Approach

Amin Ghodousian; Mahdi Mollakazemiha; Noushin Karimian

Volume 55, Issue 1 , June 2023, , Pages 11-36


  This paper proposes a novel population-based meta-heuristic optimization algorithm, called Perfectionism SearchAlgorithm (PSA), which is based on the psychological aspects of perfectionism. The PSA algorithm takes inspiration from one of the most popular model of perfectionism, which was proposed by ...  Read More

On the optimization of Dombi non-linear programming

A. Ghodousian; Fatemeh Elyasimohammadi

Volume 52, Issue 1 , June 2020, , Pages 1-36


  Dombi family of t-norms includes a parametric family of continuous strict t-norms, whose members are increasing functions of the parameter. This family of t-norms covers the whole spectrum of t-norms when the parameter is changed from zero to infinity. In this paper, we study a nonlinear optimization ...  Read More

Solving a non-linear optimization problem in the presence of Yager-FRE constraints

A. Ghodousian; Abolfazl Javan; Asieh Khoshnood

Volume 50, Issue 1 , June 2018, , Pages 155-183


  Yager family of t-norms is a parametric family of continuous nilpotent t-norms which is also one of the most frequently applied one. This family of t-norms is strictly increasing in its parameter and covers the whole spectrum of t-norms when the parameter is changed from zero to infinity. In this paper, ...  Read More

Solving a non-convex non-linear optimization problem constrained by fuzzy relational equations and Sugeno-Weber family of t-norms

Amin Ghodousian; A. Ahmadi; A. Dehghani

Volume 49, Issue 2 , December 2017, , Pages 63-101


  Sugeno-Weber family of t-norms and t-conorms is one of the most applied one in various fuzzy modelling problems. This family of t-norms and t-conorms was suggested by Weber for modeling intersection and union of fuzzy sets. Also, the t-conorms were suggested as addition rules by Sugeno for so-called  ...  Read More