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Plant production yield optimization and cost-effectiveness using an innovative artificial multiple intelligence system
The endeavor to augment the productivity of agricultural commodities is fundamentally contingent upon the establishment of optimal cultivation...
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Combining machine learning and optimization for the operational patient-bed assignment problem
Assigning inpatients to hospital beds impacts patient satisfaction and the workload of nurses and doctors. The assignment is subject to unknown...
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N-list-enhanced heuristic for distributed three-stage assembly permutation flow shop scheduling
System-wide optimization of distributed manufacturing operations enables process improvement beyond the standalone and individual optimality norms....
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Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective
Industrial 4.0 (I4.0) is believed to revolutionize supply chain (SC) management and the articles in this domain have experienced remarkable...
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A hyper-heuristic selector algorithm for cloud computing scheduling based on workflow features
This study focuses on the presentation of a new algorithm for scheduling workflows on heterogeneous distributed systems such as cloud computing....
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A Classification of Hyper-Heuristic Approaches: Revisited
Hyper-heuristics comprise a set of approaches that aim to automate the development of computational search methodologies. This chapter overviews...
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Combining Cross-Entropy and MADS Methods for Inequality Constrained Global Optimization
This paper proposes a way to combine the Mesh Adaptive Direct Search (MADS) algorithm with the Cross-Entropy (CE) method for nonsmooth constrained...
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Bi- and multi-objective location routing problems: classification and literature review
The facility location problem and the vehicle routing problem are highly interdependent and critical parts of any efficient and cost-effective supply...
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Optimizing hyperparameters in Hopfield neural networks using evolutionary search
The major problem facing users of Hopfield neural networks is the automatic choice of hyperparameters depending on the optimisation problem. This...
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Reducing Cognitive Biases Through Digitally Enabled Training. A Conceptual Framework
Since cognitive biases impair decision-making processes, organizations strive to reduce their effect. Training sustains such effort, especially when...
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The capacitated single-allocation p-hub location routing problem: a Lagrangian relaxation and a hyper-heuristic approach
A variant of the hub location routing problem studied in this work, which is the problem of locating a set of hub nodes, is establishing the...
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An Overview of Heuristics and Metaheuristics
There are numerous optimisation problems for which heuristics are currently the only practical solution method. This chapter explains the need for...
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An Improved Quantum Inspired Particle Swarm Optimization for Forest Cover Prediction
Forest cover prediction plays a crucial role in assessing and managing natural resources, biodiversity, and environmental sustainability. Traditional...
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An Artificial Bee Colony Based Hyper-heuristic for the Single Machine Order Acceptance and Scheduling Problem
This paper presents an artificial bee colony based hyper-heuristic for solving the order acceptance and scheduling (OAS) problem in a single machine...
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Optimizing the wine transportation process from bottling plants to ports
The wine industry is a highly competitive sector for which any efficiency improvement in the wine supply chain plays a critical role in maintaining...
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Fidelity-adaptive evolutionary optimization algorithm for 2D irregular cutting and packing problem
The cutting and packing problems (CPP) widely appear in various industrial fields, such as additive manufacturing (AM) and the fashion industry. The...
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A Possible Reinterpretation of the Micro, Meso, and Macro Relationships in the Context of Complexity
In this chapter we evaluate—for the purposes of studying the micro, meso, and macro relationships in the Economics of Complexity—the potential of...
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Legal Information Retrieval and Entailment Using Transformer-based Approaches
The challenge of information overload in the legal domain increases every day. The COLIEE competition has created four challenge tasks that are...
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Multi-Objective Optimization: Methods and Applications
Multi-objective optimizationMulti-Objective Optimization is concerned with finding solutions to a decision problem with multiple, normally...
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Learning
This chapter presents the third of three missions of academic research called “Mission #3: Learning”. Since academic research is defined as the...