-
221
Urban freight distribution with electric vehicles: comparing some solution procedures
Published 2024-10-01“…Among the variety of algorithm used to solve the VRP, population-based search methods are the most useful, due to the ability to update the memory at each iteration. …”
Get full text
Article -
222
Lévy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search
Published 2019-01-01“…Finally, quasi-Newton local search is integrated into DLSFLA near the end of the algorithm to improve the convergence speed. …”
Get full text
Article -
223
A comparative assessment of machine learning models and algorithms for osteosarcoma cancer detection and classification
Published 2025-06-01“…Using the seven derived datasets and eight ML algorithms, this study designed and performed an extensive comparative analysis of seven sets of ML models (altogether over 160 models) with their hyperparameters optimized using grid search. …”
Get full text
Article -
224
A Compressed Sequence Tag Index for Fast Peptide Retrieval and Efficient Storage in Protein Identification Search Engines
Published 2025-06-01“…It utilizes delta encoding, index reduction, and dynamic bit width encoding to compress the tag index, reducing the storage cost by 76.2%. Compared to TIIP, which is currently the algorithm with the lowest time complexity, the time cost of the peptide sequence retrieval of STIP-Search is reduced by 8.94% to 23.31%.…”
Get full text
Article -
225
Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production
Published 2024-12-01“…The implementation is competitive in terms of performance when compared to, on the one hand, the genetic algorithm and differential evolution methods, which are well-known state-of-the-art evolutionary algorithms, and, on the other hand, the optimal foraging algorithm (OFA), a more recent algorithm. …”
Get full text
Article -
226
Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots
Published 2025-07-01“…During the algorithm validation phase, comparative tests were conducted between two groups of algorithms, demonstrating their significant advantages in optimization capability, convergence speed, and stability. …”
Get full text
Article -
227
-
228
Hybrid Electro Search with Ant Colony Optimization Algorithm for Task Scheduling in a Sensor Cloud Environment for Agriculture Irrigation Control System
Published 2022-01-01“…Electro search and the ant colony optimization algorithm are combined in the proposed method. …”
Get full text
Article -
229
An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales
Published 2014-01-01“…First, the original electricity consumption data are selected to construct different schemes (Scheme 1: short-term selection and Scheme 2: long-term selection); next, the iterative algorithm (IA) and cuckoo search algorithm (CS) are employed to select the best parameter of GM(1,1). …”
Get full text
Article -
230
A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System
Published 2025-06-01“…The controller parameters are tuned using flamingo search optimization algorithm (FSA) based on minimum mean square error (MSE). …”
Get full text
Article -
231
Modelling of an imprecise sustainable production control problem with interval valued demand via improved centre-radius technique and sparrow search algorithm
Published 2025-06-01“…To tackle this interval optimisation problem, an improved c-r optimisation technique and the meta-heuristic algorithm Sparrow Search algorithm (SSA) are employed. …”
Get full text
Article -
232
Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm
Published 2025-07-01“…This article presents a novel classification system with a proposed feature selection method for assessing neonatal brain injury, in which the feature selection method is combined using elastic net (EN) regression and an improved crow search algorithm (ICSA), named EN-ICSA. In the EN-ICSA method, EN regression is used to conduct the pre-screening of features. …”
Get full text
Article -
233
Optimal Economic Modelling of Hybrid Combined Cooling, Heating, and Energy Storage System Based on Gravitational Search Algorithm-Random Forest Regression
Published 2021-01-01“…The random forest regression (RFR) model was optimized by the gravitational search algorithm (GSA). The test results show that the GSA-RFR model improves prediction accuracy and reduces the generalization error. …”
Get full text
Article -
234
-
235
-
236
A hybrid scheduling approach for mega event transportation: integrating harmony search and black widow optimization
Published 2024-12-01“…This study introduces a novel hybrid optimization algorithm that combines the strengths of harmony search (HS) and black widow optimization (BWO). …”
Get full text
Article -
237
3-D Packing in Container using Teaching Learning Based Optimization Algorithm
Published 2023-02-01“…Moreover, it was also compared with another algorithm called Gravitational Search Algorithm (GSA). …”
Get full text
Article -
238
Enhanced Automatic Generation Control in Multiarea Power Systems: Crow Search Optimized Cascade FOPI‐TIDDN Controller With Integrated Renewable Solar Thermal Models and HVDC Lines...
Published 2025-05-01“…Fractional‐Order Proportional‐Integral with Tilt Integral Double Derivative and Filter (FOPI‐TIDDN), a novel cascade controller optimized using the crow search (CS) algorithm, is proposed in this paper to overcome these issues. …”
Get full text
Article -
239
Improvement of Dung Beetle Optimization Algorithm Application to Robot Path Planning
Published 2025-01-01“…We propose the adaptive t-distribution spiral search Dung Beetle Optimization (TSDBO) Algorithm to address the limitations of the vanilla Dung Beetle Optimization Algorithm (DBO), such as vulnerability to local optima, weak convergence speed, and poor convergence accuracy. …”
Get full text
Article -
240
Evaluating the Efficiency of Nature-Inspired Algorithms for Finite Element Optimization in the ANSYS Environment
Published 2025-06-01“…This study investigates the feasibility and benefits of embedding three prominent metaheuristic algorithms, the Genetic Algorithm (GA), the Firefly Algorithm (FA), and the Group Search Optimizer (GSO) embedded into the ANSYS Parametric Design Language (APDL). …”
Get full text
Article