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A novel teaching-learning-based optimization algorithm for energy-efficient scheduling in hybrid flow shop
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Genetic Algorithms and Engineering Optimization
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Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption
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Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
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A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem
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Multi-objective genetic algorithm for energy-efficient job shop scheduling
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A modified teaching–learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling
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Magnetic Material Group Furnace Problem Modeling and the Specialization of the Genetic Algorithm
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Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling
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A Branch-and-Bound Algorithm for Minimizing the Energy Consumption in the PFS Problem
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Discrete African Buffalo Optimization Algorithm for the Low-carbon Flexible Job Shop Scheduling Problem
inferred← citeshttps://doi.org/10.1145/3583133.3590641openalex-snapshot
Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup Times
inferred← citeshttps://doi.org/10.1145/3627915.3627924openalex-snapshot
Neural Network-Based Evaluation for the Multi-Objective Optimization in Flow Shops with Random Failures
inferred← citeshttps://doi.org/10.1145/3638264.3638279openalex-snapshot
An Improved Sparrow Search Algorithm for Solving Hybrid Flow Shop Scheduling Problems with Lot Streaming
inferred← citeshttps://doi.org/10.1155/2022/2221762openalex-snapshot
Fuzzy Adaptive Teaching Learning-Based Optimization for Solving Unconstrained Numerical Optimization Problems
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Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling
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Energy-Aware Scheduling in Hybrid Flow Shop using Firefly Algorithm
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Energy-Efficient Flow Shop Scheduling Using Hybrid Grasshopper Algorithm Optimization
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MEDA_HH: A Multidimensional Estimation of Distribution Algorithm-Based Hyper Heuristic for Distributed No-Wait Lot-Streaming Flow-Shop Scheduling Problem
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Q-Learning-Based Teaching-Learning Optimization for Distributed Two-Stage Hybrid Flow Shop Scheduling with Fuzzy Processing Time
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A Mathematical Model for Lot-streaming Hybrid Flow Shop Scheduling Problem by Considering Learning Effect and Buffer Capacity
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Multi-objective low-carbon hybrid flow shop scheduling via an improved teaching-learning-based optimization algorithm
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A Shuffled Frog Leaping Algorithm with Q-Learning for Distributed Hybrid Flow Shop Scheduling Problem with Energy-Saving
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Optimal Operation and Scheduling of Parallel Machines in Jobshop Environments
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MINIMASI KONSUMSI ENERGI PADA PERMASALAHAN HYBRID FLOW SHOP SCHEDULING DENGAN ALGORITMA SALP SWARM
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Dynamic Scheduling of Blocking Flow-Shop Based on Multi-Population ACO Algorithm
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Genetic Programming with Delayed Routing for Multi-Objective Dynamic Flexible Job Shop Scheduling
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Genetic Programming with Delayed Routing for Multi-Objective Dynamic Flexible Job Shop Scheduling
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Advanced analytics applications in smart manufacturing – A systematic literature review on their perspectives, effects, and sustainability
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Digitization of the work environment for sustainable production
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Advanced analytics applications in smart manufacturing – A systematic literature review on their perspectives, effects, and sustainability
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Two-phase imperialist competitive algorithm for energy-efficient flexible job shop scheduling
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Diversified teaching-learning-based optimization for fuzzy two-stage hybrid flow shop scheduling with setup time
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An imperialist competitive algorithm for distributed assembly flowshop scheduling with Pm → 1 layout and transportation
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An Elite-Class Teaching-Learning-Based Optimization for Reentrant Hybrid Flow Shop Scheduling with Bottleneck Stage
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Smart Manufacturing Scheduling Approaches—Systematic Review and Future Directions
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A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems
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Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives
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Network-Aware Smart Scheduling for Semi-Automated Ceramic Production via Improved Discrete Hippopotamus Optimization
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Sorting-Based Discrete Artificial Bee Colony Algorithm for Solving Fuzzy Hybrid Flow Shop Green Scheduling Problem
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Multi-Resource Computing Offload Strategy for Energy Consumption Optimization in Mobile Edge Computing
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A Sequential Hybrid Optimization Algorithm (SHOA) to Solve the Hybrid Flow Shop Scheduling Problems to Minimize Carbon Footprint
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A Hybrid Honey Badger Algorithm to Solve Energy-Efficient Hybrid Flow Shop Scheduling Problems
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A Novel Collaborative Optimization Model for Job Shop Production–Delivery Considering Time Window and Carbon Emission
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A Bi-Objective Approach to Minimize Makespan and Energy Consumption in Flow Shops with Peak Demand Constraint
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Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme
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A Novel Multi-Population Artificial Bee Colony Algorithm for Energy-Efficient Hybrid Flow Shop Scheduling Problem
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A Multi-Objective Cellular Memetic Optimization Algorithm for Green Scheduling in Flexible Job Shops
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An Adaptive Two-Class Teaching-Learning-Based Optimization for Energy-Efficient Hybrid Flow Shop Scheduling Problems with Additional Resources
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Experimental Investigation of Natural Circulation Stability Phenomena in a New Loop Heat Pipe Model
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