An improved multiverse optimization (IMVO) algorithm is proposed herein for the fuzzy flexible job-shop scheduling problem pertaining to non-deterministic polynomial-time hard (NP-hard) problem. First, we designed a hybrid initialization method improve quality of initial solution, and thereafter, introduced self-crossing technique along with an insert-based heuristic simulate process exchanging...

Abstract Quantum Annealing (QA) is a metaheuristic for solving optimization problems in time-efficient manner. Therefore, quantum mechanical effects are used to compute and evaluate many possible solutions of an problem simultaneously. Recent studies have shown the potential QA such complex assignment within milliseconds. This also applies field job shop scheduling, where existing approaches ho...

The nature of construction and formulation the multi-objective functions in flexible job shop (FJS) provides great insights about study technique mechanism scheduling helping to prioritize efforts for optimizing manufacturing execution performance, which draw focus researchers at home abroad. From perspective model, solution method objective function, this paper reviews analyzes related academi...

As a typical transportation tool in the intelligent manufacturing system, Automatic Guided Vehicle (AGV) plays an indispensable role automatic production process of workshop. Therefore, integrating AGV resources into scheduling has become research hotspot. For problem flexible job shop adopting segmented AGV, dual-resource optimization mathematical model machine tools and AGVs is established by...

In traditional scheduling literature, it is generally assumed that the location of facilities are predetermined and fixed in advance. However, these decisions are interrelated and may impact each other significantly. Therefore finding a schedule and facility location has become an important problem as an extension of the well-known scheduling problems. In this research we consider joint decisio...