Area of research
Industrial and Manufacturing Engineering · Strategy and Management
Research interest
Research interests include Computer science, Mathematical optimization, Scheduling (production processes), Operations research, Benchmark (surveying), and Vehicle routing problem.
Modeling energy management of an energy hub with hybrid energy storage systems for a smart island considering water–electricity nexus
A game theory based scheduling approach for charging coordination of multiple electric vehicles aggregators in smart cities
Optimization of the drone-assisted pickup and delivery problem
The drone-assisted pickup and delivery problem: An adaptive large neighborhood search metaheuristic
Opposition-based Laplacian distribution with Prairie Dog Optimization method for industrial engineering design problems
Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty
Vessel scheduling under different tugboat allocation policies
On the zero-inventory-ordering policy in the inventory routing problem
Collaborative truck-and-drone delivery for inventory-routing problems
Branch-and-price for a combined order selection and distribution problem in online community group-buying of perishable products
A multi-objective home healthcare delivery model and its solution using a branch-and-price algorithm and a two-stage meta-heuristic algorithm
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
Chaotic binary reptile search algorithm and its feature selection applications
The Arithmetic Optimization Algorithm
Applications, Deployments, and Integration of Internet of Drones (IoD): A Review
A Novel Evolutionary Arithmetic Optimization Algorithm for Multilevel Thresholding Segmentation of COVID-19 CT Images
Vessel scheduling with pilotage and tugging considerations
An integrated queuing-stochastic optimization hybrid Genetic Algorithm for a location-inventory supply chain network
Improved slime mould algorithm by opposition-based learning and Levy flight distribution for global optimization and advances in real-world engineering problems
Combined passenger and parcel transportation using a mixed fleet of electric and gasoline vehicles
The integrated quay crane assignment and scheduling problems with carbon emissions considerations
Optimal fleet deployment for electric vehicle sharing systems with the consideration of demand uncertainty
A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
A unified framework for efficient, effective, and fair resource allocation by food banks using an Approximate Dynamic Programming approach
Benders decomposition for multiple-allocation hub-and-spoke network design with economies of scale and node congestion
Selection scheme sensitivity for a hybrid Salp Swarm Algorithm: analysis and applications
Stochastic optimization for price-based unit commitment in renewable energy-based personal rapid transit systems in sustainable smart cities
Long-Term Electricity Demand Prediction via Socioeconomic Factors—A Machine Learning Approach with Florida as a Case Study
Next-generation quay crane scheduling
Mathematical and optimization modelling in desalination: State-of-the-art and future direction