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Stress-constrained topology optimization using the constrained natural element method
This paper presents a topology optimization framework to achieve volume minimization with crossland fatigue constraints under proportional loading...
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Evolutionary constrained multi-objective optimization: a review
Solving constrained multi-objective optimization problems (CMOPs) is challenging due to the simultaneous consideration of multiple conflicting...
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Distributed constrained combinatorial optimization leveraging hypergraph neural networks
Scalable addressing of high-dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering...
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Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Aiming at the constrained optimization problem where function evaluation is time-consuming, this paper proposed a novel algorithm called data-driven...
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Diversity enhanced Equilibrium Optimization algorithm for solving unconstrained and constrained optimization problems
This research study proposes a novel mutation scheme mainly based on the manipulation equations of Tangent Search Optimization and mutualism phase of...
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Linear Constrained Optimization Method (LiCOM): A Novel Paradigm to Handle Engineering Optimization Problems
A newly defined “linear constrained optimization method” (LiCOM), as a novel meta-exploratory optimization technique, is presented here to carry out...
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Deep reinforcement learning-based framework for constrained any-objective optimization
Optimization problems are widely used in many real-world applications. These problems are rarely unconstrained and are usually considered constrained...
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Stress-constrained optimization of multiscale structures with parameterized microarchitectures using machine learning
A multiscale topology optimization framework for stress-constrained design is presented. Spatially varying microstructures are distributed in the...
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A constrained Bayesian Optimization framework for structural vibrations with local nonlinearities
In order to address stringent standards, energy efficiency objectives or also cost reduction imperatives, the optimal design of complex industrial...
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An efficient MATLAB code for stress-constrained level set topology optimization method
This paper presents an efficient MATLAB code for the discrete adjoint-based level set method, which is compact and provided for 2D stress-constrained...
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A parallel constrained Bayesian optimization algorithm for high-dimensional expensive problems and its application in optimization of VRB structures
Variable-thickness rolled blank (VRB) structures can offer excellent crashworthiness and weight reduction potential with its large-scale applications...
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A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems
Balancing between the convergence, feasibility, and diversity of the population is the key to solving constrained multi-objective optimization...
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Constrained efficient global multidisciplinary design optimization using adaptive disciplinary surrogate enrichment
Surrogate-based optimization has become a popular approach for solving problems with computationally expensive disciplinary solvers. Recently, the...
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Static video summarization with multi-objective constrained optimization
Video summarization is an emerging research field. In particular, static video summarization plays a major role in abstraction and indexing of video...
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Bi-objective Optimization for Resource-constrained Robust Construction Project Scheduling
Construction projects are often executed in complex environments, and various uncertain factors (e.g., bad weather, machine breakdown) prolong...
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Robust contact-constrained topology optimization considering uncertainty at the contact support
In this paper, the general framework for contact-constrained topology optimization of Strömberg and Klarbring (
2010 ) is extended to robust topology...
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Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization
Constrained multi-objective problems are difficult for researchers to solve because they contain infeasible regions. To address this issue, this...
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Flexible-constrained time-variant hybrid reliability-based design optimization
Only the worst-case scenario is considered in most studies when conducting reliability-based design optimization under hybrid uncertainties including...
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A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems
Lots of real-world optimization problems are inherently constrained multi-objective optimization problems (CMOPs), but the existing constrained...
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Dynamic Optimization of Path-Constrained Switched Systems
This book provides a series of systematic theoretical results and numerical solution algorithms for dynamic optimization problems of switched systems...