This paper aims to provide a solution method for the real-world hybrid flowshop scheduling problem resulting from steelmaking process, which has important applications in modern iron and steel industry. We first present mixed integer mathematic model based on comprehensive investigation. Then, we develop heuristic two improvement procedures given schedule problem-specific characteristics. Finally, propose an effective artificial bee colony (ABC) algorithm with job-permutation-based...

In this study, we propose a hybrid fruit fly optimization algorithm (HFOA) to solve the flowshop rescheduling problem with flexible processing time in steelmaking casting systems. First, machine breakdown and variation disruptions are considered simultaneously problem. Second, each solution is represented by well-designed representation. Third, two novel decoding heuristics considering characteristics, which can significantly improve quality, developed. Several routing scheduling...

The steelmaking-continuous-casting (SCC) process, which includes steelmaking, refining and continuous casting, is one of the major bottlenecks iron steel production. Efficient effective scheduling this process essential to improve productivity reduce production costs entire system. We present a time-index formulation for problem Lagrangian relaxation (LR) approach based on machine capacity constraints. relaxed solved using an efficient polynomial dynamic programming algorithm. corresponding...

This study investigates a challenging problem of rescheduling hybrid flow shop in the steelmaking-continuous casting (SCC) process, which is major bottleneck production iron and steel. In consideration uncertain disturbance during SCC we develop time-indexed formulation to model problem. The performances consider not only efficiency measure, includes total weighted completion time waiting time, but also stability refers difference number operations processed on different machines for stage...

A hybrid algorithm which combines particle swarm optimization (PSO) and iterated local search (ILS) is proposed for solving the flowshop scheduling (HFS) problem with preventive maintenance (PM) activities. In algorithm, different crossover operators mutation are investigated. addition, an efficient multiple insert operator developed enhancing searching ability of algorithm. Furthermore, ILS-based procedure embedded in to improve exploitation The detailed experimental parameter canonical PSO...

Abstract In this study, we address the challenge of analyzing spatial spin distribution based on nonlinear Bloch equations in atomic magnetometry through use physics-informed neural networks (PINNs). Atomic plays a crucial role field biomagnetism, where it is used to detect weak magnetic fields produced by human brain, heart, and other organs. The describe polarization clusters an external field, but their nonlinearity can make analysis domain difficult. By utilizing PINNs, provide numerical...

Most of stroke patients suffer from upper limb hemiplegia in different degrees, while the traditional one-on-one rehabilitation treatment has many shortcomings, such as low efficiency, process is vague, effect influenced by therapist, etc. In order to overcome those this paper developed an robot based on magnetic powder brakes, which had 2 DOF (degree freedom) and one manual adjustment DOF, so that sicken limbs can move Quasi-3D space. Because worked passive mode ever its strategies was PNF...

This paper studies a real-world hybrid flow shop problem arising from the steelmaking continuous casting process, which is bottleneck of iron and steel production. There are variety features to be taken into account, in particular batch constraints variable processing times last stages. Based on time-index formulation machine capacity relaxation, three Lagrangian relaxation (LR) approaches presented for addressing this scheduling problem. The LR decompose relaxed job-level problems,...

This paper introduces a hybrid algorithm combining discrete harmony search (DHS) and iterated local (ILS) for solving the multi-objective resource allocation problem (RAP). Two objectives are considered simultaneously, i.e. minimization of overall cost efficiency. The is used to conduct global exploration task, while performs exploitation work. In addition, an external Pareto archive set was introduced memory non-dominated solutions found so far. Experimental results on well-known benchmarks...

One of the biggest bottlenecks in iron and steel production is steelmaking-continuous casting (SCC) process, which consists steel-making, refining continuous casting. The scheduling SCC a complex hybrid flowshop (HFS) with following features: job grouping precedence constraints, no dead time inside same group jobs, setup constraints on casters. A mixed-integer programming (MIP) model established objective minimizing total weighted penalties earliness/tardiness waiting. Through relaxing...