专题:Artificial Immune Systems Applications

This cluster of papers explores the concept of artificial immune systems, drawing inspiration from the biological immune system to develop computational models for tasks such as pattern recognition, optimization, intrusion detection, and anomaly detection. The papers cover topics such as clonal selection algorithms, negative selection algorithms, dendritic cells, self-nonself discrimination, and their applications in various fields.
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Dung beetle optimizer: a new meta-heuristic algorithm for global optimization

article Full Text OpenAlex 1702 FWCI103.9501

DQIS — Distributed Quorum-Based Independent Immune Surveillance: A Theoretical Framework for Byzantine Fault Tolerance for Multi-Channel Immune Surveillance

article Full Text OpenAlex 1327 FWCI0

Snake Optimizer: A novel meta-heuristic optimization algorithm

article Full Text OpenAlex 1111 FWCI75.7625

RIME: A physics-based optimization

article Full Text OpenAlex 1084 FWCI94.1052

Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems

article Full Text OpenAlex 1017 FWCI65.399

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

article Full Text OpenAlex 908 FWCI60.5706

Dwarf Mongoose Optimization Algorithm

article Full Text OpenAlex 901 FWCI64.9973

Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications

article Full Text OpenAlex 900 FWCI60.8232

Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

article Full Text OpenAlex 786 FWCI52.5374

White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems

article Full Text OpenAlex 748 FWCI51.8947