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Simulation and Optimization of Energy Systems
Recently, several countries have been talking about net-zero carbon emission plans by 2050 and 2060. On the other hand, several countries and...
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A Simulation-Based Optimization Framework Applied to Assess the Resilience of Energy Distribution Center
The design of Energy Distribution Centers aims to determine the number, location, and capacity of energy distribution centers and assess the...
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Multi-Layer 5G Network Slicing with UAVs: An Optimization Model
In this paper, we present a network-based optimization model describing a closed-loop supply chain for the provision of 5G network slices on demand...
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Application of Digital Twin Technology on Simulation and Optimization of Prime Movers in Energy Systems
The advent of digital twin technology enabled next steps in the evolution of the current state-of-the-art optimization solutions for prime movers in...
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A Unit Root Test with Markov Switching Deterministic Components: A Special Emphasis on Nonlinear Optimization Algorithms
In this study, we investigate the performance of different optimization algorithms in estimating the Markov switching (MS) deterministic components...
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Simulation-Based Methods
This chapter presents methods that combine stochastic simulation with other numerical tools to find approximate solutions on the model’s ergodic set....
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Cryptocurrency Exchange Simulation
In this paper, we consider the approach of applying state-of-the-art machine learning algorithms to simulate some financial markets. In this case, we...
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Nonlinear Equations and Optimization
This chapter presents numerical methods used to locate the roots of systems of nonlinear equations or find the extrema of real-valued functions...
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Navigating Global Trade: Genetic Algorithm Approaches to E-Commerce Supply Chain and Inventory Optimization
This study explores the application of genetic algorithms (GAs) for optimizing supply chain and inventory control in e-commerce companies engaged in...
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An agent-based simulation approach to investigate the shift of Switzerland’s inland freight transport from road to rail
Most of today’s inland freight transport in Switzerland is operated on the road system. In this study, an innovative agent-based simulation approach...
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Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
We consider the problem of choosing a portfolio that maximizes the cumulative prospect theory (CPT) utility on an empirical distribution of asset...
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Assessment of the activity scheduling optimization method using real travel data
New mobility services are appearing with the support of technological developments. Part of them is related to activity scheduling of individuals and...
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Portfolio Optimization for Major Industries in American Capital Market
This study focuses on portfolio optimization of five companies in the American capital market using the mean variance model. The importance of...
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Land Use Simulation Models
This chapter presents a review of the literature on land use models structured according to disaggregation of space, time and decision-makers and...
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Portfolio Optimization Using Novel EW-MV Method in Conjunction with Asset Preselection
Integration of asset preselection with appropriate portfolio optimization techniques can improve the performance of the portfolio optimization...
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Portfolio Optimization During the COVID-19 Epidemic: Based on an Improved QBAS Algorithm and a Dynamic Mixed Frequency Model
The determination of weights and the measurement of risk have been the core problems of portfolio optimization. In this paper, we propose the...
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Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning
In this chapter, we provide an overview of inventory management within the pharmaceutical industry and how to model and optimize it. Inventory...
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Energy Simulation Optimization for Building Insulation Materials
Recently increased energy consumption and carbon emissions caused by energy consumption have mobilized governments. Energy-efficient building designs...
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Multi-Objective Reliability-Based Design Optimization of Shell-and-Tube Heat Exchangers Using Combined Subset Simulation Method and Naive Bayes Algorithm
In today’s advanced world, optimization of energy systems to reduce energy consumption and costs in the industrial area has received much attention....
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Reliability-Based Robust Design Optimization Method for Engineering Systems with Uncertainty Quantification
Robust optimization is a method for optimization under uncertainties in engineering systems and designs for applications ranging from aeronautics to...