Entanglement-assisted variational algorithm for discrete optimization problems [PDF]
Communications PhysicsFrom fundamental sciences to economics and industry, discrete optimization problems are ubiquitous. Yet, their complexity often renders exact solutions intractable, necessitating the use of approximate methods.
Lorenzo Fioroni, Vincenzo Savona
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The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems [PDF]
The Scientific World Journal, 2014 This paper introduces an expanded version of the Invasive Weed Optimization algorithm (exIWO) distinguished by the hybrid strategy of the search space exploration proposed by the authors.
Henryk Josiński +3 more
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Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem [PDF]
, 2008 Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
N. Mladenović +12 more
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The MINLP Approach to Topology, Shape and Discrete Sizing Optimization of Trusses
Applied Sciences, 2022 The paper presents the Mixed-Integer Non-linear Programming (MINLP) approach to the synthesis of trusses. The solution of continuous/discrete non-convex and non-linear optimization problems is discussed with respect to the simultaneous topology, shape ...
Simon Šilih +2 more
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Benchmarking problems for robust discrete optimization [PDF]
Computers & Operations ResearchRobust discrete optimization is a highly active field of research where a plenitude of combinations between decision criteria, uncertainty sets and underlying nominal problems are considered. Usually, a robust problem becomes harder to solve than its nominal counterpart, even if it remains in the same complexity class.
Marc Goerigk, Mohammad Khosravi
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Search and Rescue Optimization Algorithm for Size Optimization of Truss Structures with Discrete Variables [PDF]
Numerical Methods in Civil Engineering, 2019 In this paper, a new metaheuristic algorithm is developed to sizing optimization of truss structures with discrete variables. The proposed algorithms namely search and rescue optimization algorithm (SAR), imitates the exploration behavior of humans ...
A. Shabani, B. Asgarian, M. Salido
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Adaptive wireless network multi-objective optimization algorithm based on image synthesis
EURASIP Journal on Image and Video Processing, 2018 Multi-objective optimization problems can be divided into continuous multi-objective optimization problems and discrete multi-objective optimization problems, and discrete multi-objective optimization is not universal.
Jianwei Zhang, Xueya Zhang
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A Modified Jaya Algorithm for Mixed-Variable Optimization Problems
Journal of Intelligent Systems, 2018 Mixed-variable optimization problems consist of the continuous, integer, and discrete variables generally used in various engineering optimization problems.
Singh Prem, Chaudhary Himanshu
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A comparison of mixed-variables Bayesian optimization approaches
Advanced Modeling and Simulation in Engineering Sciences, 2022 Most real optimization problems are defined over a mixed search space where the variables are both discrete and continuous. In engineering applications, the objective function is typically calculated with a numerically costly black-box simulation ...
Jhouben Cuesta Ramirez +5 more
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A New Multidisciplinary Design Optimization Method Accounting for Discrete and Continuous Variables under Aleatory and Epistemic Uncertainties [PDF]
International Journal of Computational Intelligence Systems, 2012 Various uncertainties are inevitable in complex engineered systems and must be carefully treated in design activities. Reliability-Based Multidisciplinary Design Optimization (RBMDO) has been receiving increasing attention in the past decades to ...
Hong-Zhong Huang +4 more
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