Advances in Swarm Intelligence
14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I
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Article
Open AccessThe short-term outcomes and risk factors of post-myocardial infarction ventricular septal rupture: a multi-center retrospective Study
Post-myocardial infarction ventricular septal rupture (PIVSR) is one of the most severe types of mechanical complications after acute myocardial infarction (AMI) with high mortality and poor prognosis. The ris...
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Article
Open AccessComprehensive comparisons of gradient-based multi-label adversarial attacks
Adversarial examples which mislead deep neural networks by adding well-crafted perturbations have become a major threat to classification models. Gradient-based white-box attack algorithms have been widely use...
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Article
Open AccessAnomalous origin of the coronary artery: prevalence and coronary artery disease in adults undergoing coronary tomographic angiography
Anomalous aortic origin of a coronary artery (AAOCA) is a rare congenital coronary anomaly with the potential to cause adverse cardiac events. However, there is limited data on the association between AAOCA an...
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Chapter and Conference Paper
A Framework of Large-Scale Peer-to-Peer Learning System
Federated learning (FL) is a distributed machine learning paradigm in which numerous clients train a model dispatched by a central server while retaining the training data locally. Nonetheless, the failure of ...
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Chapter and Conference Paper
Cooperative Coevolution for Cross-City Itinerary Planning
The itinerary planning problem plays a pivotal role in the tourism industry, involving the selection of an optimal tour route from multiple preferred points of interest (POIs) chosen by travelers while conside...
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Chapter and Conference Paper
Toward Unknown/Known Cyberattack Detection with a Causal Transformer
The existing detection methods can either only classify known types of cyberattacks or only distinguish network anomalies to identify whether unknown cyberattacks are present, they are unable to distinguish bo...
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Chapter and Conference Paper
An Indicator Based Evolutionary Algorithm for Multiparty Multiobjective Knapsack Problems
As a special case of the multiobjective optimization problem, the multiobjective knapsack problem (MOKP) widely exists in real-world applications. Currently, most algorithms used to solve MOKPs assume that the...
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Article
Open AccessDBCC2: an improved difficulty-based cooperative co-evolution for many-modal optimization
Evolutionary multimodal optimization algorithms aim to provide multiple solutions simultaneously. Many studies have been conducted to design effective evolutionary algorithms for solving multimodal optimizatio...
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Article
Open AccessA novel dynamic reference point model for preference-based evolutionary multiobjective optimization
In the field of preference-based evolutionary multiobjective optimization, optimization algorithms are required to search for the Pareto optimal solutions preferred by the decision maker (DM). The reference po...
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Chapter and Conference Paper
On the Privacy Issue of Evolutionary Biparty Multiobjective Optimization
Some evolutionary algorithms have been proposed to address biparty multiobjective optimization problems (BPMOPs). However, all these algorithms are centralized algorithms which directly obtain the privacy info...
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Chapter and Conference Paper
Multi-label Adversarial Defense Scheme Based on Negative Correlation Ensemble
Adversarial examples have become an important issue in the field of deep learning security. There have been many studies on adversarial example attack and defense algorithms for single-label classification mod...
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Chapter and Conference Paper
Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission
This paper proposes an asynchronous federated learning framework based on dynamic selective transmission to solve the communication efficiency problem in asynchronous federated learning. The framework first dy...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Swarm Intelligence
14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II
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Chapter and Conference Paper
Brain Storm Optimization Integrated with Cooperative Coevolution for Large-Scale Constrained Optimization
Large-scale constrained optimization problems (LSCOPs) are challenging to solve because of the high dimensionality and constraint limitations. Although cooperative coevolution (CC) has been applied to LSCOPs, ...
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Chapter and Conference Paper
Defending Adversarial Examples by Negative Correlation Ensemble
The security issues in DNNs, such as adversarial examples, have attracted much attention. Adversarial examples refer to the examples which are capable to induce the DNNs return incorrect predictions by introdu...
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Chapter and Conference Paper
Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application
Online intelligent tutoring systems have developed rapidly in recent years. Analyzing educational data to help students personalize learning has become a research hotspot. Knowledge Tracing (KT) aims to assess...
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Article
Open AccessBSO20: efficient brain storm optimization for real-parameter numerical optimization
Brain storm optimization (BSO) is an emerging global optimization algorithm. The primary idea is to divide the population into different clusters, and offspring are generated within a cluster or between two cl...
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Chapter and Conference Paper
A New Evolutionary Approach to Multiparty Multiobjective Optimization
Multiparty multiobjective optimization problems (MPMOPs) are a type of multiobjective optimization problems (MOPs), where multiple decision makers are involved, different decision makers have different objecti...
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Chapter and Conference Paper
Density-Based Population Initialization Strategy for Continuous Optimization
The population initialization is the first and crucial step in many swarm intelligence and evolutionary algorithms. In this paper, we propose a new density-based population initialization strategy, which is co...
