Optimisation Algorithms and Their Applications

Dear Colleagues,

Optimisation is concerned with developing a set of modelling frameworks and solution techniques that allow practitioners to derive the best performance from a complex system. It is based on interdisciplinary expertise and skills in the fields of operations research, management science, industrial and systems engineering, and computer science. Optimisation models and algorithms have been widely applied to various industries, such as manufacturing, mining, robotics, transportation, agriculture, and healthcare.

This Special Issue will focus on recent theoretical and applied studies of optimisation problems, models, analysis, algorithms, and real-world implementations. Topics include—but are not limited to—the following:

• Planning and scheduling optimisation;
• Supply chain management and operations management;
• Construction algorithms based on dominance rules, such as SPT, LPT, and EDD;
• Heuristic algorithms based on problem properties, such as the shifting bottleneck procedure;
• Exact algorithms, such as branch and bound, dynamic programming, etc.;
• Approximate algorithms with proofs of convergence degree and computational complexity;
• Classic metaheuristic algorithms, such as genetic algorithms, Tabu search, simulated annealing, threshold accepting, and the memetic algorithm;
• Hyper-heuristic algorithms, such as ant colony optimisation, partial swam optimisation, Harris Hawks optimisation, and discrete whale optimisation;
• Mixed-integer programming models with relaxation methods, such as column generation and Benders decomposition;
• Intelligent multiagent system and simulation;
• Bilevel optimisation;
• Algorithmic game theory;
• Deep learning, reinforcement learning, and other machine learning algorithms;
• Approximation algorithms and randomized algorithms for combinatorial optimisation problems;
• Recent literature review of optimisation algorithms and their applications;
• Complex management systems with application-based aspects.

Prof. Dr. Shi Qiang Liu
Prof. Dr. Erhan Kozan
Prof. Dr. Felix T. S. Chan
Prof. Dr. Weidong Li
Guest Editors

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