Computational Intelligence and Soft Computing: Recent Applications

Edited by
April 2023
458 pages
  • ISBN978-3-0365-6155-4 (Hardback)
  • ISBN978-3-0365-6156-1 (PDF)

This book is a reprint of the Special Issue Computational Intelligence and Soft Computing: Recent Applications that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences

The delicate balance of resource intensity and efficiency of a solution for a very complex problem raises the issue of how these aspects constitute a symmetrical or asymmetrical system. Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems. This "toolbox" is one of the best examples for the study of the above mentioned issue, namely, how to find the best balance, how to establish a symmetry of weights or costs in a particular field, for a particular problem. This special issue presents a number of interesting novel applications of CI for the tackling of a wide variety of difficult problems. The Introduction gives a short insight into the symmetry and asymmetry aspect of the topic.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
lung nodule segmentation; 3D-UNet; 3D-Res2UNet; multi-scale features; deep learning; butterfly optimization algorithm (BOA); particle swarm optimization (PSO); cubic map; nonlinear; high dimension; extensional fuzzy numbers; MI-algebras; similarity; arithmetics of fuzzy numbers; orderings; fuzzy interpolation; economic data; air defense system; artificial immune system; command and control; learning classifier system; multi-agent systems; weapon-target assignment; energy optimization; genetic algorithms; multi-objective optimization; artificial neural network simulator; artificial intelligence; artificial bee colony algorithm; global optimization; neural network; nonlinear static system; behavioural finance; imprecision; oriented fuzzy number; oriented present value; oriented return; S-divergence; S-distance; spectral clustering; text summarization; recurrent neural network; embedding; dynamic memory network; fuzzy-rough cognitive network; fuzzy cognitive map; granular computing; fuzzy-rough sets; stability; convergence; discrete bacterial memetic evolutionary algorithm; simulated annealing; flow shop scheduling problem; global sensitivity analysis; Sobol procedure; fast algorithm; convolutional neural network; structure reduction; pruning; quality; feature selection; machine learning; asexual; genetic algorithm; android malicious application detection; bees algorithm; training deep neural networks; metaheuristics; opinion mining; recurrent neural networks; sentiment classification; natural language processing; data augmentation; fine-tuning; generative models; StyleGAN; transfer learning; oriented fuzzy number; imprecision; present value; discount factor; portfolio; finance; metaheuristics; optimization; tourist trip design; vehicle routing; key performance indicator (KPI); anomaly detection; variational auto-encoder (VAE); support vector data description (SVDD); FMEA; Fuzzy Logic; greenhouse gases; blockchain; difficulty adjustment; genetic algorithm; proof-of-work; ANN; AlexNet; COVID-19; transfer learning; TSA; commonsense; knowledge graph; linguistic terms; language models; deep learning; n/a