Publications — Islam Taharimul

4Published

2Under Review

31st Author

2Conferences

Research Focus

My research centers on metaheuristic optimization algorithms, with a particular emphasis on Differential Evolution (DE) variants. I investigate adaptive parameter control, hybrid operator design, and success-history based mechanisms to enhance convergence speed and solution quality on complex multimodal and real-world optimization landscapes.

Differential Evolution Particle Swarm Optimization Adaptive Parameter Control Global Optimization Signal Processing

Complete Publication List

Adaptive Crossover Selection for Differential Evolution to Solve Global Optimization Problems

First Author

IEEE 12th International Conference on Intelligent Control and Information Processing (ICICIP) IEEE | 2024

Proposes an adaptive crossover selection mechanism that dynamically chooses between binomial and exponential crossover strategies based on historical performance, significantly improving DE's robustness across diverse problem classes on CEC2017 benchmarks.

Zero-Shot Short Time Fourier Transform Radar and Communication Signal Classification

Co-Author

Discover Electronics Springer Nature | 2025

Applies zero-shot learning with short-time Fourier transform features to classify radar and communication signals, demonstrating generalization to unseen signal types without retraining.

ModSHADE: An Enhanced Differential Evolution Algorithm with Ensemble Mutation, Dual-Bin Crossover, and Adaptive Parameter Control

First Author · Under Review

— Under Review

Introduces ModSHADE, a DE algorithm built on SHADE with triple-mutation ensemble, dual-bin crossover with adaptive rates, and probability-based parameter adaptation. Tested on CEC 2014 and 2017 benchmarks, it achieves improved convergence speed and robustness over standard SHADE.

Differential Evolution with Adaptive and Hybrid Strategies: A Comparative Study on CEC 2017 Benchmarks

First Author · Under Review

— Under Review

A comparative study of state-of-the-art adaptive and hybrid DE variants, analyzing their performance on CEC 2017 benchmark functions. Highlights competitive performance in high-dimensional and complex scenarios, and outlines future directions for large-scale optimization and AI integration.

Enhancing Medication Adherence Using IoT Technology

First Author

European Journal of Electrical Engineering and Computer Science

Designs and evaluates an IoT-based smart medication reminder system that improves patient adherence through automated alerts, real-time monitoring, and caregiver integration.

Importance and Utilization of Technology in Agricultural Economics: Evaluating the Challenges & Prospect for Bangladesh

Co-Author

FORCE: Focus on Research in Contemporary Economics