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Improved Simulated Annealing Search for Structural Optimization

https://doi.org/10.2514/2.852
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/10898.1573-2916openalex-snapshot
Journal of Global Optimization
inferredcites →https://doi.org/10.1007/bf00119932openalex-snapshot
Stochastic techniques for global optimization: A survey of recent advances
inferredcites →https://doi.org/10.1007/bf00941057openalex-snapshot
Random tunneling by means of acceptance-rejection sampling for global optimization
inferredcites →https://doi.org/10.1016/0045-7949(91)90402-8openalex-snapshot
Towards structural optimization via the genetic algorithm
inferredcites →https://doi.org/10.1016/s0045-7949(01)00037-2openalex-snapshot
An application of simulated annealing to the optimum design of reinforced concrete retaining structures
inferredcites →https://doi.org/10.1080/03052159508941188openalex-snapshot
EFFICIENT SCHEDULES FOR SIMULATED ANNEALING
inferredcites →https://doi.org/10.1103/physrev.106.620openalex-snapshot
Information Theory and Statistical Mechanics
inferredcites →https://doi.org/10.1109/72.363466openalex-snapshot
Combinatorial optimization with use of guided evolutionary simulated annealing
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1209/0295-5075/6/2/003openalex-snapshot
Optimization of NP-Complete Problems by Boltzmann-Darwin Strategies Including Life Cycles
inferredcites →https://doi.org/10.1287/moor.6.1.19openalex-snapshot
Minimization by Random Search Techniques
inferredcites →https://doi.org/10.1287/opre.6.2.244openalex-snapshot
A Discussion of Random Methods for Seeking Maxima
inferredcites →https://doi.org/10.2514/2.215openalex-snapshot
Modal Parameter Identification Using Simulated Evolution
inferredcites →https://doi.org/10.2514/3.11710openalex-snapshot
Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm
inferredcites →https://doi.org/10.2514/3.12996openalex-snapshot
Parallel processing in optimal structural design using simulated annealing
inferredcites →https://doi.org/10.2514/3.13410openalex-snapshot
Constraint handling in genetic search using expression strategies
inferredcites →https://doi.org/10.2514/3.48476openalex-snapshot
A Computational Study of Transformation Methods for Optimal Design
inferredcites →https://doi.org/10.2514/3.49057openalex-snapshot
Actuator Placement Optimization by Genetic and Improved Simulated Annealing Algorithms
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.7551/mitpress/4931.003.0017openalex-snapshot
*13 Simulated Annealing and Boltzmann Machines

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9780470339497.ch47openalex-snapshot
Integrative Design with Ceramics: Optimization Strategies for Ceramic/Metal Joints
inferred← citeshttps://doi.org/10.1007/978-3-319-16000-9_2openalex-snapshot
Probability Collectives: A Distributed Optimization Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-16000-9_7openalex-snapshot
Probability Collectives with Feasibility-Based Rule II
inferred← citeshttps://doi.org/10.1007/978-981-15-8546-3_11openalex-snapshot
Interval Multi-objective Optimization
inferred← citeshttps://doi.org/10.1007/s00158-009-0418-9openalex-snapshot
Improving the performance of simulated annealing in structural optimization
inferred← citeshttps://doi.org/10.1007/s10489-007-0043-5openalex-snapshot
Learning-enhanced simulated annealing: method, evaluation, and application to lung nodule registration
inferred← citeshttps://doi.org/10.1007/s13042-017-0728-yopenalex-snapshot
An improved biogeography/complex algorithm based on decomposition for many-objective optimization
inferred← citeshttps://doi.org/10.1016/b978-008044076-7/50008-8openalex-snapshot
Design Methods
inferred← citeshttps://doi.org/10.1016/j.asoc.2009.09.006openalex-snapshot
Probability Collectives: A multi-agent approach for solving combinatorial optimization problems
inferred← citeshttps://doi.org/10.1016/j.compstruc.2004.03.003openalex-snapshot
Multi-objective optimal design of truss structure with immune algorithm
inferred← citeshttps://doi.org/10.1016/j.compstruc.2016.10.017openalex-snapshot
Optimum design of steel lattice transmission line towers using simulated annealing and PLS-TOWER
inferred← citeshttps://doi.org/10.1016/s0045-7949(01)00037-2openalex-snapshot
An application of simulated annealing to the optimum design of reinforced concrete retaining structures
inferred← citeshttps://doi.org/10.1016/s1568-4946(03)00036-xopenalex-snapshot
Design optimization of N-shaped roof trusses using reactive taboo search
inferred← citeshttps://doi.org/10.1142/s1469026811003185openalex-snapshot
SOLVING CONSTRAINED OPTIMIZATION PROBLEMS USING PROBABILITY COLLECTIVES AND A PENALTY FUNCTION APPROACH
inferred← citeshttps://doi.org/10.1155/2011/980216openalex-snapshot
A Probability Collectives Approach with a Feasibility‐Based Rule for Constrained Optimization
inferred← citeshttps://doi.org/10.2514/1.16778openalex-snapshot
Parallel Simulated Annealing Using Simplex Method
inferred← citeshttps://doi.org/10.2514/2.7299openalex-snapshot
New Stochastic Algorithm for Design Optimization
inferred← citeshttps://doi.org/10.2514/6.2004-4584openalex-snapshot
Parallel Simulated Annealing Using Simplex Method
inferred← citeshttps://doi.org/10.32657/10356/48033openalex-snapshot
A distributed multi-agent system approach for solving constrained optimization problems using probability collectives
inferred← citeshttps://doi.org/10.4203/ccp.84.51openalex-snapshot
Fitness Evaluation for Structural Optimisation Genetic Algorithms Using Neural Networks
inferred← citeshttps://doi.org/10.5151/meceng-wccm2012-18566openalex-snapshot
STRUCTURAL OPTIMIZATION USING ARTIFICIAL IMMUNE SYSTEM (AIS)
inferred← citeshttps://doi.org/10.5589/q04-019openalex-snapshot
Optimal Placement of Active Elements in Space Truss Structures with Random Parameters Using Simulated Annealing
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