Review of Optimization Techniques

Venter, Gerhard

doi:10.1002/9780470686652.eae495

Cited by 161 publications

(90 citation statements)

References 25 publications

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“…The choice of optimization technique will ultimately depend on these factors. Optimization algorithms can be divided into two basic groups: local or global [14].…”

Section: Optimization Methodsmentioning

confidence: 99%

Hydraulic design and optimization of a modular pump-turbine runner

Schleicher

Öztekin

2015

Energy Conversion and Management

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a b s t r a c tA novel modular pumped-storage scheme is investigated that uses elevated water storage towers and cement pools as the upper and lower reservoirs. The scheme serves a second purpose as part of the wastewater treatment process, providing multiple benefits besides energy storage. A small pumped-storage scheme has been shown to be a competitive energy storage solution for micro renewable energy grids; however, pumped-storage schemes have not been implemented on scales smaller than megawatts. Off-the-shelf runner designs are not available for modular pumped-storage schemes, so a custom runner design is sought. A preliminary hydraulic design for a pump-turbine runner is examined and optimized for increased pumping hydraulic efficiency using a response surface optimization methodology. The hydraulic pumping efficiency was found to have improved by 1.06% at the best efficiency point, while turbine hydraulic efficiency decreased by 0.70% at the turbine best efficiency point. The round-trip efficiency for the system was estimated to be about 78%, which is comparable to larger pumped-storage schemes currently in operation.

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“…The choice of optimization technique will ultimately depend on these factors. Optimization algorithms can be divided into two basic groups: local or global [14].…”

Section: Optimization Methodsmentioning

confidence: 99%

Hydraulic design and optimization of a modular pump-turbine runner

Schleicher

Öztekin

2015

Energy Conversion and Management

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“…We advise reading this excellent book for a deep review study (Talbi 2009). The techniques can be classified as either local (typically gradient-based) or global (typically non-gradient based or evolutionary) algorithms (Venter 2010). Among the existing techniques there are: gradient descent (GD) (Bottou 2012), Ant colony (Hajjem et al 2017), genetic algorithms (GA) (Goldberg 1989;Oliver 2017), evolutionary hill climbing (Abramson et al 2006), particle swarm optimization (PSO) (Poli et al 2007), taboo search (Glover and Laguna 1997).…”

Section: Description Of the Meta-heuristics Boosted Weak Learnersmentioning

confidence: 99%

Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers

Benabderrahmane

2017

Int J Intell Robot Appl

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Artificial vision in robotics involves real time detection of objects for fast decision making. Such intelligent systems require efficient algorithms and big learning database of examples for producing robust classifiers. Several methods of objects detection and tracking have been proposed in the literature. However, even though the detection rates have been improved, the processing time and the complexity of the models still representing a key challenge. In this paper, we present a real time object detection and tracking framework based on Adaboost classification, where a strong classifier is generated using an iterative combination of weak learners. This method is based on the use of discriminative features by analyzing different regions of the input image. Instead of performing a full traversal in the entire search space of all possible visual features, we propose to use intelligent heuristics for accelerating time processing and extracting relevant features in the image that lead to a best detection rate. The meta-heuristics involve the use of genetic algorithms, particle swarm optimization, random walk and a novel hybrid combination of these methods. The obtained results, in a case of intelligent transportation system, have shown considerable improvements in term of computation time, efficiency and accuracy.

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“…Genetic algorithms are thereby especially useful for a relatively wide-ranged search in the design space. In general, evolutionary algorithms perform much better in finding the global or near global optimum in the presence of multiple local extrema than gradient-based methods and are well suited for discrete optimization problems [175]. The main drawback is the high numerical effort since a large number of problem solutions are required.…”

Section: Evolutionary Optimization Algorithmsmentioning

confidence: 99%

“…The standard form for a single-objective, nonlinear, constrained optimization problem is provided as [175],…”

Section: Optimization Algorithmsmentioning

confidence: 99%

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

2017

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Abstract:Research on detecting structural damage at the earliest possible stage has been an interesting topic for decades. Among them, the vibration-based damage detection method as a global technique is especially pervasive. The present study reviewed the state-of-the-art on the framework of vibration-based damage identification in different levels including the prediction of the remaining useful life of structures and the decision making for proper actions. This framework consists of several major parts including the detection of damage occurrence using response-based methods, building reasonable structural models, selecting damage parameters and constructing objective functions with sensitivity analysis, adopting optimization techniques to solve the problem, predicting the remaining useful life of structures, and making decisions for the next actions. For each part, the commonly used methods were reviewed and the merits and drawbacks were summarized to give recommendations. This framework is aimed to guide the researchers and engineers to implement step by step the structure damage identification using vibration measurements. Finally, the future research work in this field is recommended.

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Review of Optimization Techniques

Cited by 161 publications

References 25 publications

Hydraulic design and optimization of a modular pump-turbine runner

Hydraulic design and optimization of a modular pump-turbine runner

Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

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