Flexible Job Shop Scheduling Problem (FJSSP) is an extension of the classical Job Shop
Scheduling Problem (JSSP). The FJSSP is known to be NP‐hard problem with regard to …

Production rescheduling involves re-optimizing production schedules in response to
disruptions that render the initial schedule inefficient or unfeasible. This process requires …

Flexible job shop scheduling problem (FJSSP) is a critical operational planning step in
manufacturing that ensures on-time delivery of goods leading to customer satisfaction. The …

In this paper, we are concerned with the resolution of a multiobjective complex job-shop
scheduling problem stemming from semiconductor manufacturing. To produce feasible and …

This paper proposes several novel hybrid ant colony optimization (ACO)-based algorithms
to resolve multi-objective job-shop scheduling problem with equal-size lot splitting. The main …

This work presents a novel parallel branch and bound algorithm to efficiently solve to
optimality a set of instances of the multi-objective flexible job shop scheduling problem for …

Particle swarm optimization is a population-based stochastic algorithm designed to solve
difficult optimization problems, such as the flexible job shop scheduling problem. This …

Abstract The Brain Storming Optimization (BSO) algorithm is a novel swarm intelligent
algorithm that simulates the brainstorming process of humans. This paper presents the BSO …

This paper attempts to compare the effect of using different chromosome representations
while developing a genetic algorithm to solve a scheduling problem called DFJS (distributed …

In this paper, a general local search approach for the Multi-Objective Flexible Job-shop
Scheduling Problem (MOFJSP) is proposed to determine a Pareto front for any combination …