Strategic Optimization of Medical Oxygen Supply Chains for Healthcare Response in Concurrent Multi-Disaster Scenarios Saptadeep Biswas, Suraj Kumar, Fariba Goodarzian, Uttam Kumar Bera, Erfan Babaee Tirkolaee, Absalom El‐Shamir Ezugwu, Laith Abualigah Concurrency and Computation Practice and Experience, 2026 We propose a dynamic optimization framework for Medical Oxygen Supply Chains (MOSCs) operating under concurrent disasters. The framework aims to minimize both the total response and transportation time, as well as the total operational cost. These goals are subject to constraints involving evacuation, capacity, maintenance, and inventory. Two models are developed: A deterministic baseline (Model 1) and an uncertainty‐aware spherical‐fuzzy formulation (Model 2). Multi‐objective solutions are obtained using several preference‐articulation and scalarization techniques. These include Fuzzy Goal Programming, Global Criterion, Weighted Average, Weighted Tchebycheff, Interactive Fuzzy Satisfying Technique, Neutrosophic Fuzzy Linear Programming, and Spherical Fuzzy Linear Programming, all implemented in LINGO. A case study on the Kumaon region in Uttarakhand, India, demonstrates the practical value of our approach. This region is prone to floods, landslides, and seismic events. Compared to Model 1, Model 2 yields a 9.96% reduction in transportation time (3124.365 2813.300) and an 8.83% reduction in total cost (194,200 177,052.2). Sensitivity analyses further evaluate robustness under demand surges, travel‐time disruptions, and capacity constraints. These analyses enable adaptive, real‐time decision support. The findings provide actionable guidance for emergency managers on resource allocation, risk mitigation, and preparedness. Ultimately, our framework enhances healthcare resilience and ensures timely oxygen delivery to medical facilities during compound crises.
Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms Gyan Singh, Saptadeep Biswas, Absalom El-Shamir Ezugwu, Vladimir Simic, Uttam Kumar Bera, Kashif Saleem, Laith Abualigah International Journal of Computational Intelligence Systems, 2025 Metaheuristic algorithms are crucial for solving intricate optimization problems in diverse fields. The Sine Cosine Algorithm (SCA), known for its efficiency and simplicity in global search, sometimes struggles with premature convergence and inadequate exploitation. To address these challenges, this study introduces a novel hybrid SCA-Gazelle Optimisation Algorithm (HSCAGOA) by integrating the Gazelle Optimisation Algorithm’s (GOA) exploitation strategy. Inspired by gazelle behaviour, GOA enhances local search capabilities, improving the balance between the exploration and exploitation phases. Additionally, HSCAGOA incorporates Brownian motion and Lévy flight mechanisms to further enhance exploration capabilities. This research rigorously evaluates HSCAGOA through extensive computational experiments on 33 benchmark test problems and six engineering design challenges. Comparisons with classical SCA and various state-of-the-art optimisation algorithms show that HSCAGOA consistently achieves faster convergence and higher solution quality across diverse optimisation landscapes. To validate these results, ranking analysis is conducted using the Wilcoxon rank-sum test and the Wilcoxon signed-rank test, confirming the efficacy of HSCAGOA. Furthermore, employing the Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making enables systematic ranking and comparison of HSCAGOA’s performance against other algorithms. Additionally, a comparative analysis was conducted against renowned CEC competition winners, including LSHADEcnEpSin, LSHADESPACMA, and CMA-ES. HSCAGOA is evaluated through extensive computational experiments involving CEC 2017 benchmark test functions. Moreover, sensitivity analysis is performed to assess the robustness of HSCAGOA under varying configurations, including different population sizes and maximum iteration counts on CEC 2022 benchmark test functions. The findings highlight the algorithm’s adaptability and reliability in addressing complex optimization challenges. In summary, this study introduces HSCAGOA as a robust optimisation framework that mitigates the limitations of traditional SCA. It provides an effective solution for addressing complex real-world optimisation problems across different domains.
A Novel Hybrid Optimizer Based on Coati Optimization Algorithm and Differential Evolution for Global Optimization and Constrained Engineering Problems Saptadeep Biswas, Binanda Maiti, Gyan Singh, Absalom E. Ezugwu, Kashif Saleem, Laith Abualigah, Aseel Smerat, Uttam Kumar Bera International Journal of Computational Intelligence Systems, 2025 This paper presents a novel hybrid metaheuristic, the Hybrid Coati Optimization Algorithm with Differential Evolution (HCOADE), developed to address complex global optimization tasks and constrained engineering design problems. HCOADE integrates the exploration-driven behaviour of the Coati Optimization Algorithm (COA)-inspired by the social foraging and predation strategies of coatis-with the powerful mutation and crossover mechanisms of Differential Evolution (DE), thereby achieving a balanced and adaptive search process. The hybridization enhances global exploration and local exploitation, enabling the algorithm to efficiently navigate diverse and challenging optimization landscapes. To rigorously evaluate its performance, HCOADE is tested on benchmark suites from CEC 2014, 2017, 2020, and 2022, which encompass unimodal, multimodal, hybrid, and composition functions. It is also applied to real-world constrained engineering problems, such as pressure vessel design, cantilever beam optimization, and reinforced concrete beam design. Comparative experiments against state-of-the-art algorithms—including COA, DE, RSA, PSO, SSA, BBO, QIO, DMOA, and others—demonstrate that HCOADE consistently delivers superior solution quality, faster convergence, and higher robustness. Quantitative results show that HCOADE achieved the 1st place average rank across all four benchmark suites. It obtained top performance on 80% of the functions in CEC 2014, 66.7% in CEC 2017, 70% in CEC 2020, and 66.7% in CEC 2022. Furthermore, HCOADE outperformed or matched CEC competition-winning algorithms such as LSHADE-cnEpSin, LSHADE-SPACMA, and CMA-ES on numerous challenging functions of CEC 2017. Statistical analyses, including Wilcoxon Rank Sum Tests and ranking evaluations, confirm the significance and reliability of HCOADE’s performance. Furthermore, convergence behaviour, measurement of exploration and exploitation, and sensitivity analysis highlight the algorithm’s adaptability and stability across varied problem domains. This study contributes a computationally efficient and generalizable hybrid optimization framework, offering a promising solution for theoretical benchmarks and real-world engineering applications.
Adaptive hybrid crayfish-Harmonic search metaheuristic for robust feature selection in supervised classification B Maiti, S Biswas, M Deb, UK Bera Cluster Computing 29 (4), 238 , 2026 2026
Strategic Optimization of Medical Oxygen Supply Chains for Healthcare Response in Concurrent Multi‐Disaster Scenarios S Biswas, S Kumar, F Goodarzian, UK Bera, EB Tirkolaee, AES Ezugwu, ... Concurrency and Computation: Practice and Experience 38 (8), e70712 , 2026 2026
Distribution-free flash-flood human-impact forecasting under temporal covariate shift HS Gupta, JA Duarte, S Biswas 2026
Soft Computing-Enabled Optimization of Multi-Choice Stochastic Transportation Problem Involving Exponential and Logistic Distributions S Biswas, K Mishra, UK Bera Proceedings of the National Academy of Sciences, India Section A: Physical … , 2026 2026
A Spherical Fuzzy-MARCOS-Based Decision-Making Model for Optimizing UAV Landing Zone Selection and Payload Delivery S Biswas, R Mahajan, A Baidya, UK Bera Operations Research and Data Analytics: Current Trends and Future … , 2026 2026
A redistribution-based multi-stage humanitarian logistic design model considering the spherical fuzzy methodology S Biswas, P Belamkar, UK Bera International Journal of Logistics Systems and Management 53 (4), 522-557 , 2026 2026
Emergency medical facility site selection in drone-based relief operations using an enhanced T-spherical fuzzy frank combined compromise solution method R Mahajan, S Biswas, V Simic, D Pamucar, A Baidya, UK Bera Engineering Applications of Artificial Intelligence 161, 112140 , 2025 2025 Citations: 4
An artificial neural network-based transportation problem in hilly areas considering geographical obstacles A Singh, A Das, S Biswas, T Senapati, UK Bera International Journal of System Assurance Engineering and Management, 1-20 , 2025 2025 Citations: 2
Calibrated geo-social link prediction for household–school connectivity in community resilience HS Gupta, S Biswas, CD Nicholson International Journal of Disaster Risk Reduction, 105872 , 2025 2025 Citations: 1
A Chaotic Boost: The Chaotic Crayfish Optimization Algorithm for Superior Solution Quality B Maiti, S Biswas, UK Bera, M Deb, H Jia, K Saleem, H Migdady, ... Optimal Control Applications and Methods 46 (4), 1650-1694 , 2025 2025 Citations: 5
A novel hybrid optimizer based on coati optimization algorithm and differential evolution for global optimization and constrained engineering problems S Biswas, B Maiti, G Singh, AE Ezugwu, K Saleem, L Abualigah, A Smerat, ... International Journal of Computational Intelligence Systems 18 (1), 157 , 2025 2025 Citations: 12
An innovative hybrid method combining grey wolf and marine predator optimization techniques for global and constrained problem-solving: S. Biswas et al. S Biswas, B Maiti, G Singh, S Mirjalili, V Simic, D Pamucar, UK Bera The Journal of Supercomputing 81 (8), 917 , 2025 2025 Citations: 1
Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms G Singh, S Biswas, AES Ezugwu, V Simic, UK Bera, K Saleem, ... International Journal of Computational Intelligence Systems 18 (1), 108 , 2025 2025 Citations: 4
A multi-objective optimization approach for resource allocation and transportation planning in institutional quarantine centres S Biswas, P Belamkar, D Sarma, EB Tirkolaee, UK Bera Annals of operations research 346 (2), 781-825 , 2025 2025 Citations: 19
Integrating Differential Evolution into Gazelle Optimization for advanced global optimization and engineering applications S Biswas, G Singh, B Maiti, AES Ezugwu, K Saleem, A Smerat, ... Computer Methods in Applied Mechanics and Engineering 434, 117588 , 2025 2025 Citations: 101
Enhanced crayfish optimization algorithm with differential evolution’s mutation and crossover strategies for global optimization and engineering applications: B. Maiti et al. B Maiti, S Biswas, AES Ezugwu, UK Bera, AI Alzahrani, F Alblehai, ... Artificial intelligence review 58 (3), 69 , 2025 2025 Citations: 48
Performance of a Five-Layer ANN Model for Earthquake Magnitude Prediction and Spatial Risk Mapping in Turkey S Biswas, D Kumar, M Nas, M Softa, E Akgün, UK Bera Decision Making Advances 3 (1), 40-49 , 2025 2025 Citations: 6
A Novel Hybrid Gazelle Optimization Algorithm with Differential Evolution for Solving Engineering Design Problem G Singh, S Biswas, B Maiti, UK Bera 2024 IEEE Silchar Subsection Conference (SILCON 2024), 1-6 , 2024 2024 Citations: 2
Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems S Biswas, A Shaikh, AES Ezugwu, J Greeff, S Mirjalili, UK Bera, ... Neural Computing and Applications 36 (19), 11137-11170 , 2024 2024 Citations: 25
An AI-based framework for earthquake relief demand forecasting: A case study in Türkiye S Biswas, D Kumar, M Hajiaghaei-Keshteli, UK Bera International Journal of Disaster Risk Reduction 102, 104287 , 2024 2024 Citations: 38
MOST CITED SCHOLAR PUBLICATIONS
Integrating Differential Evolution into Gazelle Optimization for advanced global optimization and engineering applications S Biswas, G Singh, B Maiti, AES Ezugwu, K Saleem, A Smerat, ... Computer Methods in Applied Mechanics and Engineering 434, 117588 , 2025 2025 Citations: 101
Enhanced crayfish optimization algorithm with differential evolution’s mutation and crossover strategies for global optimization and engineering applications: B. Maiti et al. B Maiti, S Biswas, AES Ezugwu, UK Bera, AI Alzahrani, F Alblehai, ... Artificial intelligence review 58 (3), 69 , 2025 2025 Citations: 48
Multi-objective optimization of agro-food supply chain networking problem integrating economic viability and environmental sustainability through type-2 fuzzy-based decision making P Belamkar, S Biswas, A Baidya, P Majumder, UK Bera Journal of cleaner production 421, 138294 , 2023 2023 Citations: 45
An AI-based framework for earthquake relief demand forecasting: A case study in Türkiye S Biswas, D Kumar, M Hajiaghaei-Keshteli, UK Bera International Journal of Disaster Risk Reduction 102, 104287 , 2024 2024 Citations: 38
Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems S Biswas, A Shaikh, AES Ezugwu, J Greeff, S Mirjalili, UK Bera, ... Neural Computing and Applications 36 (19), 11137-11170 , 2024 2024 Citations: 25
A multi-objective optimization approach for resource allocation and transportation planning in institutional quarantine centres S Biswas, P Belamkar, D Sarma, EB Tirkolaee, UK Bera Annals of operations research 346 (2), 781-825 , 2025 2025 Citations: 19
Prediction of earthquake magnitude and seismic vulnerability mapping using artificial intelligence techniques: a case study of Turkey S Biswas, D KUMAR, UK Bera 2023 Citations: 15
A novel hybrid optimizer based on coati optimization algorithm and differential evolution for global optimization and constrained engineering problems S Biswas, B Maiti, G Singh, AE Ezugwu, K Saleem, L Abualigah, A Smerat, ... International Journal of Computational Intelligence Systems 18 (1), 157 , 2025 2025 Citations: 12
Performance of a Five-Layer ANN Model for Earthquake Magnitude Prediction and Spatial Risk Mapping in Turkey S Biswas, D Kumar, M Nas, M Softa, E Akgün, UK Bera Decision Making Advances 3 (1), 40-49 , 2025 2025 Citations: 6
A Chaotic Boost: The Chaotic Crayfish Optimization Algorithm for Superior Solution Quality B Maiti, S Biswas, UK Bera, M Deb, H Jia, K Saleem, H Migdady, ... Optimal Control Applications and Methods 46 (4), 1650-1694 , 2025 2025 Citations: 5
Emergency medical facility site selection in drone-based relief operations using an enhanced T-spherical fuzzy frank combined compromise solution method R Mahajan, S Biswas, V Simic, D Pamucar, A Baidya, UK Bera Engineering Applications of Artificial Intelligence 161, 112140 , 2025 2025 Citations: 4
Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms G Singh, S Biswas, AES Ezugwu, V Simic, UK Bera, K Saleem, ... International Journal of Computational Intelligence Systems 18 (1), 108 , 2025 2025 Citations: 4
An artificial neural network-based transportation problem in hilly areas considering geographical obstacles A Singh, A Das, S Biswas, T Senapati, UK Bera International Journal of System Assurance Engineering and Management, 1-20 , 2025 2025 Citations: 2
A Novel Hybrid Gazelle Optimization Algorithm with Differential Evolution for Solving Engineering Design Problem G Singh, S Biswas, B Maiti, UK Bera 2024 IEEE Silchar Subsection Conference (SILCON 2024), 1-6 , 2024 2024 Citations: 2
Calibrated geo-social link prediction for household–school connectivity in community resilience HS Gupta, S Biswas, CD Nicholson International Journal of Disaster Risk Reduction, 105872 , 2025 2025 Citations: 1
An innovative hybrid method combining grey wolf and marine predator optimization techniques for global and constrained problem-solving: S. Biswas et al. S Biswas, B Maiti, G Singh, S Mirjalili, V Simic, D Pamucar, UK Bera The Journal of Supercomputing 81 (8), 917 , 2025 2025 Citations: 1
A co-operative game theoretical strategy of Vendor and Buyer in an EPQ model of deteriorating items under trade credit policy S Ankur, P Majumder, UK Bera, S Biswas 2022 IEEE Region 10 Symposium (TENSYMP), 1-6 , 2022 2022 Citations: 1
Solution of stochastic transportation problem involving multi-choice constraints of exponential distribution using Lagrange’s interpolation K Mishra, S Biswas, UK Bera 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 1-6 , 2022 2022 Citations: 1
Adaptive hybrid crayfish-Harmonic search metaheuristic for robust feature selection in supervised classification B Maiti, S Biswas, M Deb, UK Bera Cluster Computing 29 (4), 238 , 2026 2026
Strategic Optimization of Medical Oxygen Supply Chains for Healthcare Response in Concurrent Multi‐Disaster Scenarios S Biswas, S Kumar, F Goodarzian, UK Bera, EB Tirkolaee, AES Ezugwu, ... Concurrency and Computation: Practice and Experience 38 (8), e70712 , 2026 2026
