activity
20192024
most citedA Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization

7 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024★ 2 cited

Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting

Mehdi Neshat, Michael Phipps, Nikhil Jha +3

Over an extensive duration, administrators and clinicians have endeavoured to predict Emergency Department (ED) visits with precision, aiming to optimise resource distribution. Des…

cs.LG2023★ 7 cited

Meta-learning approaches for few-shot learning: A survey of recent advances

Hassan Gharoun, Fereshteh Momenifar, Fang Chen +1

Despite its astounding success in learning deeper multi-dimensional data, the performance of deep learning declines on new unseen tasks mainly due to its focus on same-distribution…

math.OC2022★ 7 cited

A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization

Iman Rahimi, Amir H. Gandomi, Fang Chen +1

This presented study provides a novel analysis of scholarly literature on constraint handling techniques for single-objective and multi-objective population-based algorithms accord…

cs.CE2022★ 1 cited

Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization

Amir H Gandomi, Kalyanmoy Deb, Ronald C Averill +2

To solve complex real-world problems, heuristics and concept-based approaches can be used in order to incorporate information into the problem. In this study, a concept-based appro…

cs.NI2019

Residual Energy Based Cluster-head Selection in WSNs for IoT Application

Trupti Mayee Behera, Sushanta Kumar Mohapatra, Umesh Chandra Samal +3

Wireless sensor networks (WSN) groups specialized transducers that provide sensing services to Internet of Things (IoT) devices with limited energy and storage resources. Since rep…