A Genetic Algorithm for the Parallel Machine Scheduling Problem with Consumable Resources. - Fayçal Belkaid; Zaki Sari; Mehdi Souier (Int. J. Appl. Metaheuristic Comput., 2013)

An Efficient Approach for the Reentrant Parallel Machines Scheduling Problem under Consumable Resources Constraints. - Fayçal Belkaid; Farouk Yalaoui; Zaki Sari (Int. J. Inf. Syst. Supply Chain Manag., 2016)

Bi-objective optimization algorithms for joint production and maintenance scheduling under a global resource constraint: Application to the permutation flow shop problem. - Radhwane Boufellouh; Fayçal Belkaid (Comput. Oper. Res., 2020)

An Efficient Approach for Solving Integrated Production and Distribution Planning Problems: Cost vs. Energy. - Besma Zeddam; Fayçal Belkaid; Mohammed Bennekrouf (Int. J. Appl. Logist., 2020)

A multi-objective simulated annealing to solve an identical parallel machine scheduling problem with deterioration effect and resources consumption constraints. - Norelhouda Sekkal; Fayçal Belkaid (J. Comb. Optim., 2020)

Multi-objective optimization for energy-efficient flow shop scheduling problem with blocking and collision-free transportation constraints. - Radhwane Boufellouh; Fayçal Belkaid (Appl. Soft Comput., 2023)

A multi-objective optimization algorithm for flow shop group scheduling problem with sequence dependent setup time and worker learning. - Djazia Nadjat Sekkal; Fayçal Belkaid (Expert Syst. Appl., 2023)

Optimisation of process plan generation for reconfigurable manufacturing systems: efficient heuristics and lower bounds. - Abdelkader Mechaacha; Fayçal Belkaid; Nadjib Brahimi (Int. J. Prod. Res., 2025)