Precast scheduling is a special case of optimization problem, in which the curing stage
requires parallel processing of a batch of jobs. In this study, distributed flexible job shop …

Metaheuristics are primarily developed to explore optimization techniques in many practice
areas. Metaheuristics refer to computational procedures leading to finding optimal solutions …

Aiming at low efficiency of agricultural machinery scheduling, this paper proposes an
adaptive immune‐following algorithm (AIFA) based on immune algorithm and artificial fish …

The flexible job shop scheduling problem is important in many research fields such as
production management and combinatorial optimization, and it contains sub-problems of …

Improving productivity at the expense of heavy energy consumption is often no longer
possible in modern manufacturing industries. Through efficient scheduling technologies …

A novel way of performing nondominated sorting in a multiobjective optimization problem is
proposed using a modified directional Bat algorithm. Unlike NSGA-II, where the solutions of …

This paper investigates the electric vehicle routing problem with time windows and nonlinear
charging constraints (EVRPTW-NL), which is more practical due to battery degradation. A …

Owing to the different quantities and processing times of sub-lots, intermingling sub-lots with
each other, instead of fixing the production sequence of sub-lots of a lot as in the existing …

Uncertainty remains a critical issue in realistic applications in many fields. However, there is
little literature considering trapezoidal interval type-2 fuzzy set (TIT2FS) in scheduling …

Copy number variation (CNV), is defined as repetitions or deletions of genomic segments of
1 Kb to 5 Mb, and is a major trigger for human disease. The high-throughput and low-cost …