Please login first
A. Bahreininejad  - - - 
Top co-authors
Mojtaba Salehi

2 shared publications

Tarbiat Modares University

Shahab Bayati

2 shared publications

Ssdegh Kharazmi

1 shared publications

34
Publications
0
Reads
0
Downloads
408
Citations
Publication Record
Distribution of Articles published per year 
(1996 - 2019)
Total number of journals
published in
 
24
 
Publications See all
Article 0 Reads 0 Citations Improving the performance of water cycle algorithm using augmented Lagrangian method Ardeshir Bahreininejad Published: 25 March 2019
Advances in Engineering Software, doi: 10.1016/j.advengsoft.2019.03.008
DOI See at publisher website ABS Show/hide abstract
In this paper, a study was carried out to investigate the application and impact of the Augmented Lagrange Method (ALM) on the recently proposed Water Cycle Algorithm (WCA). The WCA-ALM was compared with the original WCA for constrained optimization of some engineering benchmark problems. The performance of quadratic penalty method was also investigated in this research. The approach transforms a constrained problem into an unconstrained problem by imposing penalty on the objective function. The comparison results show significant performance in convergence as well as solution quality in some cases. Furthermore, a simulation was also carried out to examine how the method handles constraints regarding feasible and infeasible solutions. The results show ALM efficiently handles the constraints for the WCA algorithm resulting in improved convergence and/or solution quality.
Article 0 Reads 21 Citations Water cycle, mine blast and improved mine blast algorithms for discrete sizing optimization of truss structures Ali Sadollah, Hadi Eskandar, Ardeshir Bahreininejad, Joong H... Published: 01 March 2015
Computers & Structures, doi: 10.1016/j.compstruc.2014.12.003
DOI See at publisher website
Article 0 Reads 16 Citations A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echel... Seyed Mohsen Mousavi, Ardeshir Bahreininejad, S. Nurmaya Mus... Published: 02 October 2014
Journal of Intelligent Manufacturing, doi: 10.1007/s10845-014-0970-z
DOI See at publisher website
Article 0 Reads 18 Citations Water cycle algorithm for solving multi-objective optimization problems Ali Sadollah, Hadi Eskandar, Ardeshir Bahreininejad, Joong H... Published: 06 September 2014
Soft Computing, doi: 10.1007/s00500-014-1424-4
DOI See at publisher website
Article 0 Reads 4 Citations Multi-Item Multiperiodic Inventory Control Problem with Variable Demand and Discounts: A Particle Swarm Optimization Alg... Seyed Mohsen Mousavi, S. T. A. Niaki, Ardeshir Bahreininejad... Published: 30 June 2014
The Scientific World Journal, doi: 10.1155/2014/136047
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
A multi-item multiperiod inventory control model is developed for known-deterministic variable demands under limited available budget. Assuming the order quantity is more than the shortage quantity in each period, the shortage in combination of backorder and lost sale is considered. The orders are placed in batch sizes and the decision variables are assumed integer. Moreover, all unit discounts for a number of products and incremental quantity discount for some other items are considered. While the objectives are to minimize both the total inventory cost and the required storage space, the model is formulated into a fuzzy multicriteria decision making (FMCDM) framework and is shown to be a mixed integer nonlinear programming type. In order to solve the model, a multiobjective particle swarm optimization (MOPSO) approach is applied. A set of compromise solution including optimum and near optimum ones via MOPSO has been derived for some numerical illustration, where the results are compared with those obtained using a weighting approach. To assess the efficiency of the proposed MOPSO, the model is solved using multi-objective genetic algorithm (MOGA) as well. A large number of numerical examples are generated at the end, where graphical and statistical approaches show more efficiency of MOPSO compared with MOGA.
Article 0 Reads 88 Citations Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems Ali Sadollah, Ardeshir Bahreininejad, Hadi Eskandar, Mohd Ha... Published: 01 May 2013
Applied Soft Computing, doi: 10.1016/j.asoc.2012.11.026
DOI See at publisher website
Top