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Showing 1 to 12 of 12 for “"Cuckoo Search"”.
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Improved cuckoo search based neural network learning algorithms for data classification
… Among the conventional methods, some researchers prefer Levenberg-Marquardt (LM) because of its convergence speed and performance. On the other hand, LM algorithms which are derivative based algorithms still face a risk of getting stuck in local minima. Recently, a novel meta-heuristic …
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A functional link neural network with modified cuckoo search for prediction tasks
… layering topology of the network. Thus, this research proposed an implementation of Functional Link Neural Network (FLNN) which composed of a single layer of tunable weight trained with the Modified Cuckoo Search algorithm (MCS). The proposed approach was used to predict the daily temperatures, …
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Scheduling and Resource Efficiency Balancing: Discrete Species Conserving Cuckoo Search for Scheduling in an Uncertain Execution Environment
… project’s activities. Despite large variety of researched scheduling problems, the majority of them can be described as generalisations of the resource-constrained project scheduling problem (RCPSP). Because of wide applicability and challenging difficulty, RCPSP has attracted vast amount of …
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
… performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population …
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A modified weight optimisation for higher-order neural network in time series prediction
… understand a dataset. In line with this, the Cuckoo Search (CS) learning algorithm, a kind of metaheuristics techniques employs high-level techniques for exploration and exploitation of the search space in which its step length is much longer in the long run. Thus, can explicitly being used to …
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Optimization algorithms for loading military diesel generators
… swarm optimization (PSO), bat algorithm (BA), cuckoo search (CS), first fit decreasing (FFD) bin packing, and an exhaustive search (ES) method. It is found that at large enough search spaces, the optimization algorithms can discover reasonably optimal solutions while substantially decreasing …
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An improved firefly algorithm for optimal microgrid operation with renewable energy
… (DE), Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA).
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Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier
Metaheuristic research has proposed promising results in science, business, and engineering problems. But, mostly high-level analysis is performed on metaheuristic performances. This leaves several critical questions unanswered due to black-box issue that does not reveal why certain metaheuristic …
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Self-limitation, dynamic and flexible approaches for particle swarm optimisation
… outcome is challenging. Therefore, this research has been conducted to overcome these two limitations. Based on the literature, Particle Swarm Optimisation (PSO) was selected as the main SI for this research, due to its proven performances, abilities and simplicity. Five new techniques were …
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Dynamic energy management system of microgrid
… Particle Swarm Optimization (PSO), and Modified Cuckoo Search (MCS). In the second case study, three methods were also tried out and compared: the Multi-objective Hybrid Integrated MCS PSO (MOHIMCSPSO), the Multi-objective PSO (MOPSO), and the Multi-objective MCS (MOMCS). Finally, to prove the …
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Network selection and optimisation of 4G heterogeneous multi-hop broadband wireless networks
… is in the form of a multi-hop network. The research therefore proposes two algorithms which ensure that users enjoy the best possible quality of experience represented in terms of connection throughput and fairness considering the issues owing to small cells backhauling. The performance of …
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A Coordinated Voltage Management Method Utilizing Battery Energy Storage Systems and Smart PV Inverters in Distribution Networks with High PV and Wind Penetrations
… (SSO), Particle Swarm Optimization (PSO) and Cuckoo Search Optimization (CSO). These algorithms are used to improve the predictive efficacy of the selected algorithms, where the optimal selection of their hyperparameters and architectures plays a significant role in yielding precise …