Area of research
Industrial and Manufacturing Engineering · Artificial Intelligence
Research interest
Research interests include Scheduling and Optimization Algorithms, Advanced Manufacturing and Logistics Optimization, Metaheuristic Optimization Algorithms Research, and Optimization and Search Problems.
An adaptive collaborative optimization algorithm for hybrid flow shop with group setup times and consistent sublots
Solving electric vehicle routing problem with recharging and battery swapping using a collaborative decision attention network
Sparse-driven auxiliary mask regulation and hierarchical action selection for large-scale multi-objective optimization
A Fast Low-Rank Two-Factor Formulation for Symmetric Doubly Stochastic Clustering
Sustainable multi-objective re-entrant hybrid flow shop scheduling with batch-dependent setup via a Meta-reinforcement learning guided algorithm
Lot Streaming Optimization in Flexible Job Shop Scheduling via Deep Reinforcement Learning
Q-Learning-Driven Accelerated Iterated Greedy Algorithm for Multi-Scenario Group Scheduling in Distributed Blocking Flowshops
An accelerated discrete artificial bee colony algorithm under the makespan constraint: Solving the distributed blocking flow shop scheduling problem with balanced energy consumption costs
Enhancing distributed blocking flowshop group scheduling: Theoretical insight and application of an iterated greedy algorithm with idle time insertion and rapid evaluation mechanisms
Adaptive reference-points learning and cooperation driven multi-objective algorithm for hybrid group flow shop with outsourcing option
Block–Neighborhood-Based Multi-Objective Evolutionary Algorithm for Distributed Resource-Constrained Hybrid Flow Shop with Machine Breakdown
A deep reinforcement learning based algorithm for a distributed precast concrete production scheduling
A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization
Multi-population cooperative multi-objective evolutionary algorithm for sequence-dependent group flow shop with consistent sublots
A double-Q network collaborative multi-objective optimization algorithm for precast scheduling with curing constraints
A dimension-aware gaining-sharing knowledge algorithm for distributed hybrid flowshop scheduling with resource-dependent processing time
Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling
Two-level balancing multi-objective algorithm for trapezoidal type-2 fuzzy flexible job shop problems
Evolutionary Search via channel attention based parameter inheritance and stochastic uniform sampled training
Growth Optimizer: A powerful metaheuristic algorithm for solving continuous and discrete global optimization problems
Q-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions
An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time
A hybrid evolutionary immune algorithm for fuzzy flexible job shop scheduling problem with variable processing speeds
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints
Clinical Features of Non-Alcoholic Fatty Liver Disease in the Non-Lean Population
Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup Times
Bi-objective optimization using an improved NSGA-II for energy-efficient scheduling of a distributed assembly blocking flowshop
An improved multi-objective imperialist competitive algorithm for surgical case scheduling problem with switching and preparation times.
MoP-Mo2C quantum dot heterostructures uniformly hosted on a heteroatom-doped 3D porous carbon sheet network as an efficient bifunctional electrocatalyst for overall water splitting
A wale optimization algorithm for distributed flow shop with batch delivery