Heuristics and Metaheuristics Algorithms
1. Nature-inspired metaheuristic algorithms: literature review and presenting a novel classification

Mehdi Khadem; Abbas Toloie Eshlaghy; kiamars Fathi Hafshejani

Articles in Press, Accepted Manuscript, Available Online from 02 December 2021

http://dx.doi.org/10.22105/jarie.2021.287733.1330

Abstract
  Over the past decade, solving complex optimization problems with metaheuristic algorithms has attracted many experts and researchers.There are exact methods and approximate methods to solve optimization problems. Nature has always been a model for humans to draw the best mechanisms and the best engineering ...  Read More

Heuristics and Metaheuristics Algorithms
2. A hybrid GA –SA multiobjective optimization and simulation for RFID network planning problem

Ali Sanagooy Aghdam; Mohammad Ali Afshar Kazemi; Abbas Toloie Eshlaghy

Volume 8, Special Issue , November 2021, , Pages 1-25

http://dx.doi.org/10.22105/jarie.2021.295762.1357

Abstract
  Optimized asset tracking with Radio Frequency Identification (RFID) as a complicated innovation that requires much money to be implemented has become more popular in the healthcare industry. Considering the use of more antennas in each reader, we present a modern heuristic methods, hybrid of Genetic ...  Read More

Heuristics and Metaheuristics Algorithms
3. A comprehensive review on meta-heuristic algorithms and their classification with novel approach

Hojatollah Rajabi Moshtaghi; Abbas Toloie Eshlaghy; Mohammad Reza Motadel

Volume 8, Issue 1 , March 2021, , Pages 63-89

http://dx.doi.org/10.22105/jarie.2021.238926.1180

Abstract
  Conventional and classical optimization methods are not efficient enough to deal with complicated, NP-hard, high-dimensional, non-linear, and hybrid problems. In recent years, the application of meta-heuristic algorithms for such problems increased dramatically and it is widely used in various fields. ...  Read More

Heuristics and Metaheuristics Algorithms
4. The new approach in market segmentation by using RFM model

Hadi Roshan; Masoumeh Afsharinezhad

Volume 4, Issue 4 , December 2017, , Pages 259-267

http://dx.doi.org/10.22105/jarie.2017.91297.1011

Abstract
  Data analytics allows companies mining the patterns and trends in their customers data to implement more effective market segmentation strategies, then customize promotional offers, allocate marketing resources efficiently, and improve customer relationship management. However the implementation of such ...  Read More