Author

Iraq T. Abbas

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Open access Sep 2026

Using Evolving Algorithms to Solve Bi-Criteria-Objective Function Machine Scheduling Problems

This research examines the suitability of two new local search-based metaheuristics (i.e., Simulated Annealing (SA) and Particle Swarm Optimisation (PSO)) for addressing single-machine scheduling problems in terms of two complementary objective functions: and . We also analyze the interaction of the two objective...

Iraq T. Abbas, R. J. Mitlif · Iraqi Journal of Science · 0 citations

Open access Aug 2026

Development of the hesitant fuzzy weighted averaging–geometricaggregation operator (HFW-AG) under hesitant fuzzy information

A new hesitant fuzzy weighted averaging--geometric aggregation (HFW-AG) operator is proposed that combines the features of weighted averaging and geometric aggregation within a unified framework and demonstrates its applicability and its potential usefulness for MCGDM problems involving uncertainty and ambiguity.

Rafi Raza, Ahmad Termimi Bin Ab Ghani, Iraq T. Abbas et al. · African Scientific Reports · 0 citations

Open access Jul 2026

A Hybrid Genetic Algorithm and Cat Swarm Optimization for Solving the Quadratic Assignment Problem

Since the cost function of the Quadratic Assignment Problem (QAP) is quadratic and its solution space expands linearly, this problem is computationally challenging. In other words, any problem that can be solved by an exact method on one medium- to large-scale instance should be practically intractable in general for t...

Firas Abdullah Attia, Iraq T. Abbas, R. A. Rahman · Ibn AL-Haitham Journal For P... · 0 citations