Results 31 to 40 of about 199 (121)
Stock index forecasting is an important tool for both the investors and the government organizations. However, due to the inherent large volatility, high noise, and nonlinearity of the stock index, stock index forecasting has been a challenging task for ...
Yanqiu Sun
doaj +1 more source
Many-Objective Brain Storm Optimization Algorithm
In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving many-objective optimization problems. Inspired by the human brainstorming conference, Brain Storming Optimization (BSO) algorithm was guided by ...
Yali Wu +3 more
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ABSTRACT This study investigates early detection of heart diseases using a new Enhanced Fuzzy Min‐Max (EFMM) neural network. Two key modifications are introduced: a refined EFMM contraction procedure during the learning phase to reduce data distortion and information loss, and a new weighted validation method to optimise hyperbox selection and improve ...
Mohammed Falah Mohammed +3 more
wiley +1 more source
A Multiobjective Brain Storm Optimization Algorithm Based on Decomposition
Brain storm optimization (BSO) algorithm is a simple and effective evolutionary algorithm. Some multiobjective brain storm optimization algorithms have low search efficiency. This paper combines the decomposition technology and multiobjective brain storm
Cai Dai, Xiujuan Lei
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A Hybrid Swarm Intelligence Algorithm for Vehicle Routing Problem With Time Windows
The Vehicle Routing Problem with Time Windows (VRPTW) has drawn considerable attention in the last decades. The objective of VRPTW is to find the optimal set of routes for a fleet of vehicles in order to serve a given set of customers within capacity and
Yang Shen +4 more
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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
Dopaminergic neurons are particularly susceptible to ferroptosis. Pacemaking activity–driven calcium (Ca2+) influx increases metabolic demand and reactive oxygen species (ROS) production, promoting iron release from aconitase. Alpha‐synuclein (α‐syn) enhances iron uptake via transferrin receptor 1 (TfR1) and exhibits ferrireductase activity, converting
Carmem L. Sperlich +2 more
wiley +1 more source
Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition
Service composition provides an effective means to fulfill users' personalized requirements and complex business applications. With the number of web services rapidly growing, finding the best combination among services based on quality of service (QoS ...
Shunshun Peng, Hongbing Wang, Qi Yu
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The Immune Microenvironment in Liver Cancer: From Analysis to Targeting
This review explores how smart nanomedicines overcome the immunosuppressive tumor microenvironment in liver cancer. It details targeted delivery strategies and immune reprogramming mechanisms, including remodeling abnormal physiology, modulating metabolism, and inducing immunogenic cell death. The article highlights the paradigm shift toward multimodal
Jiaming Lan +5 more
wiley +1 more source
A Brain Storm Optimization With Multi-Information Interactions for Global Optimization Problems
The original brain storm optimization (BSO) fails to consider some potential information interactions in its individual update pattern, causing the premature convergence for complex problems. To address this problem, we propose a BSO algorithm with multi-
Chunquan Li +4 more
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