Results 51 to 60 of about 11,354 (208)
An enhanced hybridized artificial bee colony algorithm for optimization problems [PDF]
Artificial bee colony (ABC) algorithm is a popular swarm intelligence based algorithm. Although it has been proven to be competitive to other population-based algorithms, there still exist some problems it cannot solve very well.
Han, Rui +3 more
core +3 more sources
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Multi-objective energy saving optimization of residential buildings based on MABC-BP
In order to better satisfy the energy saving requirements of residential buildings in China, this paper proposes a model based on MABC-BP, which performs multi-objective optimization of residential building energy saving to further improve the energy ...
Ning Wang
doaj +1 more source
Local Contrast Enhancement Using Intuitionistic Fuzzy Sets Optimized by Artificial Bee Colony Algorithm [PDF]
The article presented the enhancement method of cells images. The first method used in the local contrast enhancement was Intuitionistic Fuzzy Sets (IFS). The proposed method is the IFS optimized by Artificial Bee Colony (ABC) algorithm. The ABC was used
Wonohadidjojo, D. M. (Daniel)
core +2 more sources
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley +1 more source
HSoMLSDP: A Hybrid Swarm-Optimized Machine Learning Framework for Software Defect Prediction
This research aims to design a hybrid swarm-optimized machine learning software defect prediction (HSoMLSDP) framework to predict software defects. We strive to do this by designing a swarm-optimized machine learning defect prediction (SoMLDP) model ...
Madhusmita Das +2 more
doaj +1 more source
Hybrid ANN‐Based Modeling and Optimization of Drilling Performance in Basalt Fiber Composites
This study optimizes drilling of woven basalt fiber–epoxy laminates using RSM and ANN–ABC models. Spindle speed, feed rate, and laminate thickness were analyzed for torque and delamination, identifying optimal conditions (1200 rpm, 0.1 mm/rev) for sustainable machining performance.
Solairaju Jothi Arunachalam +4 more
wiley +1 more source
Prediction model of alcohol intoxication from facial temperature dynamics based on K-means clustering driven by evolutionary computing [PDF]
Alcohol intoxication is a significant phenomenon, affecting many social areas, including work procedures or car driving. Alcohol causes certain side effects including changing the facial thermal distribution, which may enable the contactless ...
Alice Krestanova +19 more
core +1 more source
ABSTRACT Unequal load distribution in three‐phase power distribution networks leads to voltage unbalance and decreased network efficiency. Integration of photovoltaics (PVs) and electric vehicle charging stations (EVCSs) into such networks is a challenging task as their penetration affects the power quality of the system.
Maaz Ahmad +4 more
wiley +1 more source
An improved artificial bee colony-random forest (IABC-RF) model is proposed for predicting the tunnel deformation due to the excavation of an adjacent foundation pit.
Tugen Feng +4 more
doaj +1 more source

