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Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis
In recent decades, breast cancer has become one of the leading causes of mortality among women. This disease is not preventable because of its...
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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...
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Application of word embedding and machine learning in detecting phishing websites
Phishing is an attack whose aim is to gain personal information such as passwords, credit card details etc. from online users by deceiving them...
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Geometry-Inference Based Clustering Heuristic: New k-means Metric for Gaussian Data and Experimental Proof of Concept
K-means is one of the algorithms that are most utilized in data clustering; the number of metrics is coupled to k-means to reach reasonable levels of...
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A finite-source inventory system with service facility and postponed demands
In this article, a continuous review finite-source inventory system with single-server service facility is studied. The arrival of customers for unit...
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An efficient relax-and-solve method for the multi-mode resource constrained project scheduling problem
The multi-mode resource constrained project scheduling problem (MRCPSP) is an NP-hard optimisation problem involving scheduling tasks under resource...
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Crew recovery optimization with deep learning and column generation for sustainable airline operation management
In today’s competitive marketplace, businesses face the ongoing challenge of meeting evolving customer demands while maintaining sustainable...
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Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda
The rapid industrial changes triggered by the fourth industrial revolution or I4.0 have ensued a dynamic and integrative perspective in production...
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Modeling and solution methods for hybrid flow shop scheduling problem with job rejection
This paper addresses the hybrid flow shop scheduling problem by considering job rejection to minimize the sum of the total tardiness cost of the...
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Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers
The vehicle routing problem (VRP) is a combinatorial optimization management problem that seeks the optimal set of routes traversed by a vehicle to...
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Multi-project scheduling problem under shared multi-skill resource constraints
In this paper, we address a multi-project scheduling and multi-skilled employees assignment problem with hard and soft constraints. The goal is to...
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Solving the two-machine open shop problem with a single server with respect to the makespan
We address in this paper the two-machine open shop problem with a single server to prepare jobs before going through the processing so as to minimize...
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Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration
The rapid replacement of large-scale end-of-life (EOL) heavy machineries like automobiles, aircrafts and industrial robots necessitates efficient...
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Artificial Intelligence in travel
Over the past four decades Operations Research (OR) has played a key role in solving complex problems in airline planning and operations. Over the...
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Metaheuristic Algorithms
Metaheuristic algorithms are practically used to produce approximate solutions to large QUBO instances that cannot be solved exactly due to the high...
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A holistic IoT device classification approach through spatial & temporal behaviors modelling
Traffic management is becoming increasingly complex due to the increasing diversity of IoT platforms and protocols supported by heterogeneous...
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Homogeneous grou** of non-prime steel products for online auctions: a case study
Not all products meet customers’ quality expectations after the steelmaking process. Some of them, labelled as ‘non-prime’ products, are sold in a...
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Evolutionary algorithms for a simheuristic optimization of the product-service system design
Offering Product-Service Systems (PSS) becomes an established strategy for companies to increase the provided customer value and ensure their...
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A multi-period inventory routing problem with procurement decisions: a case in China
The classical multi-period inventory routing problem (MIRP) combines inventory management and vehicle routing problems, attempting to maintain...
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Bin Packing Methodologies for Capacity Planning in Freight Transportation and Logistics
Capacity planning may be defined as the process of determining the appropriate mix and quantity of resources to meet demand. We focus on...