| Description |
1 online resource (xvii, 546 pages) : illustrations. |
|
text txt rdacontent |
|
computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Advances in computers ; volume 135
|
| Bibliography |
Includes bibliographical references at the end of each chapter. |
| Contents |
A brief introduction to nature-inspired computing, optimization, and applications -- Part 1. Controller and power systems -- Overview of nonlinear interval optimization problems -- Solving the aircraft landing problem using the bee colony optimization (BCO) algorithm -- Situation-based genetic network programming to solve agent control problems -- Small signal stability enhancement of large interconnected power system using grasshopper optimization algorithm tuned power system stabilizer -- Part 2. Ecological and economic systems -- Air quality modeling for smart cities of India by nature inspired AI--A sustainable approach -- Genetic algorithm for the optimization of infectiological parameter values under different nutritional status -- A novel influencer mutation strategy for nature-inspired optimization algorithms to solve electricity price forecasting problem -- Recent trends in human- and bioinspired computing : Use-case study from a retail perspective -- Part 3. Information and computational systems -- Domain knowledge-enriched summarization of legal judgment documents via grey wolf optimization -- Bio-intelligent computing and optimization techniques for developing computerized solutions -- Optimizing the feature selection methods using a novel approach inspired by the TLBO algorithm for student performance prediction -- Part 4. Communication and networking systems -- Applying evolutionary methods for the optimization of an intrusion detection system to detect anomalies in network traffic flows -- Modified grey wolf optimization in user scheduling and antenna selection in MU-MIMO uplink system -- Spectral efficiency optimization by the application of metaheuristic optimization techniques -- An effective genetic algorithm for solving traveling salesman problem with group theory -- Part 5. Deep learning and neural networking systems -- Adaptation of nature inspired optimization algorithms for deep learning -- Long short-term memory tuning by enhanced Harris hawks optimization algorithm for crude oil price forecasting -- Artificial neural network optimized with PSO to estimate the interfacial properties between FRP and concrete surface -- Discovering the characteristic set of metaheuristic algorithm to adapt with ANFIS model. |
| Note |
Online resource; title from home page (viewed April 15, 2024). |
| Subject |
Natural computation.
|
|
Calcul naturel.
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| Added Author |
Biswas, Anupam, editor.
|
| Other Form: |
Print version: Application of nature-inspired computing and optimization techniques. London : Academic Press, 2024 0323957684 9780323957687 (OCoLC)1407277585 |
| ISBN |
9780323957694 (electronic bk.) |
|
0323957692 (electronic bk.) |
|
9780323957687 |
|
0323957684 |
| Standard No. |
AU@ 000076248436 |
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