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Background
The following chapter briefly presents background knowledge on SBO (Sect. 2.1), infill criteria (Sect. 2.1), and EAs (Sect. 2.2). We refer to more...
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An efficient VLSI circuit partitioning algorithm based on satin bowerbird optimization (SBO)
In partitioning, a circuit is recursively divided into several subcircuits so that each can be efficiently and independently designed with the main...
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Enhancing Surrogate-Based Optimization Through Parallelization
This book presents a solution to the challenging issue of optimizing expensive-to-evaluate industrial problems such as the hyperparameter tuning of...
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Benchmark of Sampling-Based Optimizing Planners for Outdoor Robot Navigation
This paper evaluates Sampling-Based Optimizing (SBO) planners from the Open Motion Planning Library (OMPL) in the context of mobile robot navigation...
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Automatic detection of spina bifida occulta with deep learning methods from plain pelvic radiographs
PurposeSpina bifida occulta (SBO), which is the most common congenital spinal deformity, is often seen in the lower lumbar spine and sacrum. In this...
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Final Evaluation
At the beginning of this document, we expressed existing challenges in the field of parallel SBO. To conclude this document we will discuss our...
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BIOS: an object-oriented framework for Surrogate-Based Optimization using bio-inspired algorithms
This paper presents BIOS (acronym for Biologically Inspired Optimization System), an object-oriented framework written in C++, aimed at heuristic...
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Predictive Modeling Coupled with Multiple Optimization Techniques for Assessing the Effect of Various Process Parameters on Oil and Pectin Extraction from Watermelon Rind
This study combines artificial neural network (ANN) with a novel metaheuristic technique, satin bowerbird optimizer (SBO) for predicting oil, and...
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The implementation of a Random Forest model utilizing meta-heuristic algorithms to forecast the undrained shear strength
In modern times, various empirical and theoretical methodologies have been proposed for the determination of undrained shear strength (USS) via the...
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Assessing RBFMOpt and HypE’s Performance Based on the Number of Fitness Functions
Architectural design problems usually depend on many performance indicators. The computational developments in the last decades allowed researchers...
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Employing adaptive neural fuzzy inference system model via meta-heuristic algorithms for predicting undrained shear strength
The undrained shear strength (USS) of soil is known as one of the most important features in structural engineering tasks, such as foundation design,...
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A high-dimensional optimization method combining projection correlation-based Kriging and multimodal parallel computing
In surrogate-based optimization (SBO), the recognized issues associated with the high-dimensional surrogate models focus on the prohibitive...
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Zone-Based Multi-clustering in Non-rechargeable Wireless Sensor Network Using Optimization Technique
Real-time applications in wireless sensor network are power consuming. A lot of techniques related to various clustering and load balancing the...
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Modeling of a Severe Accident in a VVR-Type Research Reactor Using MELCOR Accident Analysis Code
This study investigated the safety parameters of a water-water research (VVR) reactor core containing VVR-M2 type fuel during a severe hypothetical...
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Kinematics and trajectory planning analysis based on hybrid optimization algorithms for an industrial robotic manipulators
In industrial applications and automation, the robotic manipulators exhibit a significant role. Several complex robotic systems performed a number of...
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Feature Selection for Bi-objective Stress Classification Using Emerging Swarm Intelligence Metaheuristic Techniques
Stress is a major psychological disorder that conspicuously affects the psychological and physiological behavior of humans. Here, a dataset of...
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A Literature Review on Bidirectional Encoder Representations from Transformers
Transfer learning is a technique of training a model for a specific problem and using it as a base for training another related problem. It has been...
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Development of an efficient global optimization method based on adaptive infilling for structure optimization
For problems with expensive black-box functions, the surrogate-based optimization (SBO) is more efficient than the conventional evolutionary...
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Polyvinylidene Difluoride/Sb2S3 Composite Film as a Potential Candidate for Piezoelectric Energy Generation
In this work, antimony sulphide (Sb 2 S 3 ) in powder form was prepared using a simple chemical bath deposition technique by taking potassium antimonyl...
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Adaptive in situ model refinement for surrogate-augmented population-based optimization
In surrogate-based optimization (SBO), the deception issues associated with the low fidelity of the surrogate model can be dealt with in situ model...
