MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times

Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times

(2022) Leilei Meng et al.   Swarm and Evolutionary Computation

Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem

(2020) Leilei Meng et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Energy-efficient scheduling for multi-objective flexible job shops with variable processing speeds by grey wolf optimization

(2019) Shu Luo et al.   JOURNAL OF CLEANER PRODUCTION

A novel teaching-learning-based optimization algorithm for energy-efficient scheduling in hybrid flow shop

(2018) Deming Lei et al.   IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

A green scheduling algorithm for flexible job shop with energy-saving measures

(2018) Xiuli Wu et al.   JOURNAL OF CLEANER PRODUCTION

Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions

(2018) Jun-qing Li et al.   JOURNAL OF CLEANER PRODUCTION

A memetic differential evolution algorithm for energy-efficient parallel machine scheduling

(2018) Xueqi Wu et al.   OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem

(2018) Xiao-Long Zheng et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Multi-Objective Flexible Flow Shop Scheduling Problem Considering Variable Processing Time due to Renewable Energy

(2018) Xiuli Wu et al.   Sustainability

An Efficient Optimization Algorithm for Resource-Constrained Steelmaking Scheduling Problems

(2018) Junqing Li et al.   IEEE Access

Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines

(2018) Leilei Meng et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

MILP models for energy-aware flexible job shop scheduling problem

(2018) Leilei Meng et al.   JOURNAL OF CLEANER PRODUCTION

Mathematical modeling and evolutionary generation of rule sets for energy-efficient flexible job shops

(2017) Liping Zhang et al.   ENERGY

Improved mixed-integer linear programming model and heuristics for bi-objective single-machine batch scheduling with energy cost consideration

(2017) Shibohua Zhang et al.   ENGINEERING OPTIMIZATION

Energy-efficient job shop scheduling problem with variable spindle speed using a novel multi-objective algorithm

(2017) Lvjiang Yin et al.   Advances in Mechanical Engineering

A shuffled multi-swarm micro-migrating birds optimizer for a multi-resource-constrained flexible job shop scheduling problem

(2016) Liang Gao et al.   INFORMATION SCIENCES

A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance

(2016) Ying Liu et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption

(2016) Deming Lei et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Bi-objective optimization of a single machine batch scheduling problem with energy cost consideration

(2016) Shijin Wang et al.   JOURNAL OF CLEANER PRODUCTION

Energy-Efficient Scheduling Problem Using an Effective Hybrid Multi-Objective Evolutionary Algorithm

(2016) Lvjiang Yin et al.   Sustainability

Energy-efficient approach to minimizing the energy consumption in an extended job-shop scheduling problem

(2015) Dunbing Tang et al.   Chinese Journal of Mechanical Engineering

MOSFLA-MRPP: Multi-Objective Shuffled Frog-Leaping Algorithm applied to Mobile Robot Path Planning

(2015) Alejandro Hidalgo-Paniagua et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A shuffled frog-leaping algorithm for hybrid flow shop scheduling with two agents

(2015) Deming Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS

A genetic algorithm for energy-efficiency in job-shop scheduling

(2015) Miguel A. Salido et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Reducing environmental impact of production during a Rolling Blackout policy – A multi-objective schedule optimisation approach

(2015) Ying Liu et al.   JOURNAL OF CLEANER PRODUCTION

A multi-objective teaching−learning-based optimization algorithm to scheduling in turning processes for minimizing makespan and carbon footprint

(2015) Wenwen Lin et al.   JOURNAL OF CLEANER PRODUCTION

Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm

(2013) Min Dai et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm

(2011) Mehmet Bayram Yildirim et al.   IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

An effective shuffled frog-leaping algorithm for multi-mode resource-constrained project scheduling problem

(2011) Ling Wang et al.   INFORMATION SCIENCES

An effective shuffled frog-leaping algorithm for lot-streaming flow shop scheduling problem

(2010) Quan-Ke Pan et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY