Neural Computing for Advanced Applications
Third International Conference, NCAA 2022, **an, China, July 8–10, 2022, Proceedings, Part I
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Article
Circular RNA circ_0000119 promotes cervical cancer cell growth and migration via miR-433-3p/PAK2 axis
The purpose of this study was to investigate the role of circ_0000119 on CC progression and its molecular mechanism. The expression levels of circ_0000119, miR-433-3p, and p21-activated kinase 2 (PAK2) in CC t...
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Chapter and Conference Paper
A Stacked Autoencoder Based Meta-Learning Model for Global Optimization
As optimization problems continue to become more complex, previous studies have demonstrated that algorithm performance varies depending on the specific problem being addressed. Thus, this study proposes an ad...
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Article
Open AccessOpen pollution routing problem of logistics distribution in medical union based on differential search algorithm
Medical care is a guarantee of people's daily life. Improving healthcare contributes to people's well-being. However, healthcare resources are characterized by uneven distribution. Financially well-off areas w...
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Article
Empirical study on meta-feature characterization for multi-objective optimization problems
Algorithm recommendation based on meta-learning was studied previously. The research on the meta-features extraction, which is a key for the success of recommendation, is lacking for multi-objective optimizati...
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Chapter and Conference Paper
Data-Driven Recommendation Model with Meta-learning Autoencoder for Algorithm Selection
To improve the efficiency of problem-solving for complex optimization problems, meta-learning was applied in algorithm selection to choose the most appropriate algorithm recently. However, the common meta-lear...
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Book and Conference Proceedings
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Book and Conference Proceedings
Neural Computing for Advanced Applications
Third International Conference, NCAA 2022, **an, China, July 8–10, 2022, Proceedings, Part II
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Article
Open AccessCisplatin plus paclitaxel chemotherapy with or without bevacizumab in postmenopausal women with previously untreated advanced cervical cancer: a retrospective study
The aim of this study was to assess the survival outcomes of cisplatin-paclitaxel chemotherapy plus bevacizumab (CPB) versus cisplatin-paclitaxel chemotherapy alone (CPA) in postmenopausal women with previousl...
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Chapter and Conference Paper
Meta-feature Extraction for Multi-objective Optimization Problems
Selecting the appropriate meta-features to represent the optimization problems was studied previously. However, the research on the extraction of meta-features for multi-objective problems is lacking. In this ...
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Article
Learning–interaction–diversification framework for swarm intelligence optimizers: a unified perspective
Due to the efficiency and efficacy in performance to tackle complex optimization problems, swarm intelligence (SI) optimizers, newly emerged as nature-inspired algorithms, have gained great interest from resea...
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Chapter and Conference Paper
A Binary Superior Tracking Artificial Bee Colony for Feature Selection
Feature selection is a NP-hard combinatorial problem of selecting the effective features from a given set of original features to reduce the dimension of dataset. This paper aims to propose an improved variant...
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Article
Adaptive differential search algorithm with multi-strategies for global optimization problems
Differential search (DSA) is a recently proposed evolutionary algorithm mimicking the Brownian motion-like random movement existing in living beings. Though it has displayed promise for global optimization, th...
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Article
An efficient auction mechanism for regional logistics synchronization
This paper is the first attempt to propose an efficient auction mechanism for the regional logistics synchronization (RLS) problem, which aims to capture both logistics punctuality and simultaneity in a regional ...
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Article
Adaptive brainstorm optimisation with multiple strategies
Brainstorm optimisation (BSO) algorithm is a recently developed swarm intelligence algorithm inspired by the human problem-solving process. BSO has been shown to be an efficient method for creating better idea...
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Chapter and Conference Paper
Augmented Brain Storm Optimization with Mutation Strategies
Brain storm optimization (BSO) is a recently proposed novel and promising swarm intelligence algorithm which models the human brainstorming problem-solving process. In BSO, the search areas are grouped into se...
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Chapter and Conference Paper
Recommending PSO Variants Using Meta-Learning Framework for Global Optimization
Since inception, particle swarm optimization (PSO) has raised a great interest across various disciplines, thus producing a large number of PSO variants with respective strengths. However, a variant may perfor...
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Chapter and Conference Paper
An Augmented Artificial Bee Colony with Hybrid Learning
Artificial bee colony as a recently proposed algorithm, suffers from low convergence speed when solving global optimization problems. This may due to the learning mechanism where each bee learns from the rando...
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Chapter and Conference Paper
Modified Brain Storm Optimization Algorithms Based on Topology Structures
An algorithm performs better often due to its communication mechanisms. Different types of topology structures denote various information exchange mechanisms. This paper incorporates topology structure concept...
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Chapter and Conference Paper
Artificial Bee Colony Optimization for Yard Truck Scheduling and Storage Allocation Problem
The yard truck scheduling (YTS) and the storage allocation problem (SAP) are two significant sub-issues in container terminal operations. This paper takes them as a whole optimization problem (YTS-SAP) and ana...
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Chapter and Conference Paper
An Augmented Artificial Bee Colony with Hybrid Learning for Traveling Salesman Problem
Traveling salesman problem (TSP) is a renowned NP-hard combinatorial optimization model which widely studied in the operation research community, such as transportation, logistics and industries areas. To addr...
