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Evolutionary Computation, Metaheuristics, Nature-Inspired Algorithms, and Symmetry

Computational intelligence is an important branch of artificial intelligence. Nowadays, evolutionary computation as a part of computational intelligence is widely used to solve various numerical problems and real-world engineering problems. Its application and development bring a great contribution...

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Formato: Online
Lenguaje:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2026
Materias:
Electrical load forecasting
Machine learning
Extreme learning machine
Dynamic backward learning
Madness factor operator
Multiobjective vehicle routing problem with time windows
Deep reinforcement learning
Evolutionary multi-task optimization
Knowledge transfer
NSGA-II
DSSAT model
Local search
Optimization of irrigation and fertilization
Evolutionary algorithms
Tree genetic programming
Linear genetic programming
Imperative programming
Many-objective optimization
Penalty-based boundary intersection
Comprehensive adaptive penalty scheme
NSGA-III
Metasurface
Polarization conversion
Ultrawideband
Topology optimization
Shape optimization
Genetic algorithm
Artificial intelligence
ANFIS
Brent oil
Metaheuristic optimization
Methodological symmetry
Time-series analysis
Swarm intelligence
Optimization algorithms
Nature-inspired algorithms
Cloud–edge–end collaborative network
Task offloading
Method symmetry
Particle swarm optimization
Metaheuristic algorithm
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Acceso en línea:ONIX_20260416T142754_9783725858330_33
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