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Weapon-target assignment problem: exact and approximate solution algorithms
The Weapon-Target Assignment (WTA) problem aims to assign a set of weapons to a number of assets (targets), such that the expected value of survived...
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An introduction to variational quantum algorithms for combinatorial optimization problems
Noisy intermediate-scale quantum computers (NISQ computers) are now readily available, motivating many researchers to experiment with Variational...
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Approximate variational inequalities and equilibria
We study relations between the solution sets of Variational Inequalities, Minty Variational Inequalities, Natural Map problems and Nash Equilibrium...
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Hybrid simplicial-randomized approximate stochastic dynamic programming for multireservoir optimization
We revisit an approximate stochastic dynamic programming method that we proposed earlier for the optimization of multireservoir problems. The method...
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Algorithms for Scheduling Deadline-Sensitive Malleable Tasks
Due to the ubiquity of batch data processing, the related problems of scheduling malleable batch tasks have received significant attention. We...
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Quantum Algorithms and Applications
In the previous chapter, we discussed the basics of quantum computing and some essential properties such as superposition, entanglement, and the...
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Review on Nature-Inspired Algorithms
Optimization and its related solving methods are becoming increasingly important in most academic and industrial fields. The goal of the optimization...
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How can entrepreneurs improve digital market segmentation? A comparative analysis of supervised and unsupervised learning algorithms
The identification of digital market segments to make value-creating propositions is a major challenge for entrepreneurs and marketing managers. New...
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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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Anticipatory scheduling of synchromodal transport using approximate dynamic programming
We study the problem of scheduling container transport in synchromodal networks considering stochastic demand. In synchromodal networks, the...
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Online algorithms for ambulance routing in disaster response with time-varying victim conditions
We present a novel online optimization approach to tackle the ambulance routing problem on a road network, specifically designed to handle...
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Decentralized optimization over slowly time-varying graphs: algorithms and lower bounds
We consider a decentralized convex unconstrained optimization problem, where the cost function can be decomposed into a sum of strongly convex and...
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Algorithms to compute the energetic lower bounds of the cumulative scheduling problem
The aim of this paper is to propose efficient algorithms for computing the energetic lower bounds of the cumulative sheduling problem. So we have to...
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Approximation algorithms for coupled task scheduling minimizing the sum of completion times
In this paper we consider the coupled task scheduling problem with exact delay times on a single machine with the objective of minimizing the total...
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Forecasting returns volatility of cryptocurrency by applying various deep learning algorithms
The study aims at forecasting the return volatility of the cryptocurrencies using several machine learning algorithms, like neural network...
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How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? How to...
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A review of motion planning algorithms for intelligent robots
Principles of typical motion planning algorithms are investigated and analyzed in this paper. These algorithms include traditional planning...
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Express Delivery Network Optimization Based on Intelligent Algorithms
The chapter reports research on the optimization of express delivery networks based on an intelligent algorithm. The heuristic algorithm in express...
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A Comprehensive Survey of Anomaly Detection Algorithms
Anomaly or outlier detection is consider as one of the vital application of data mining, which deals with anomalies or outliers. Anomalies are...