Comprehensive Learning-Enhanced Educational Competition Optimizer for Numerical Optimization and Reservoir Production Optimization. [PDF]
Biomimetics (Basel)Li S, Luo J.
europepmc +1 more source
Corrigendum to "Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems" [Heliyon Volume 10, Issue 11, June 2024, Article e31629]. [PDF]
HeliyonAgushaka JO +5 more
europepmc +1 more source
A novel hybrid metaheuristic algorithm and response surface methodology approach for predictive modeling and optimization of cementitious compressive strength. [PDF]
Sci RepMaaroof RS, Hamad AS, Hussein MMF.
europepmc +1 more source
Related searches:
Metaheuristic Optimization Algorithms
2021In this introductory chapter, specific state-of-the-art metaheuristic optimization algorithms are outlined. The presented algorithms belong to the broad trajectory-based and population-based categories, and they are particularly selected as they constitute the building blocks of algorithm portfolios presented in the forthcoming chapters.
Dimitris Souravlias +3 more
openaire +2 more sources
Gradient-based optimizer: A new metaheuristic optimization algorithm
Information Sciences, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Iman Ahmadianfar +2 more
openaire +1 more source
Metaheuristic Optimization Review: Algorithms and Applications
Journal of Artificial Intelligence and Metaheuristics, 2023Metaheuristic optimisation algorithms have become more well liked in recent years due to their success in solving challenging optimisation problems. Only a few of the metaheuristic optimisation techniques covered in this work include genetic algorithms, particle swarm optimisation, simulated annealing, ant colony optimisation, and many others.
Mohamed Saber +2 more
openaire +1 more source
Fuzzy optimization and metaheuristic algorithms
Babylonian Journal of Mathematics, 2023Fuzzy optimization and metaheuristic algorithms are two important fields in computational intelligence. Fuzzy optimization deals with the optimization of systems or processes that involve fuzzy sets or fuzzy logic, while metaheuristic algorithms are a class of optimization algorithms that are designed to solve difficult problems by mimicking natural ...
openaire +1 more source
Introduction: Optimization and Metaheuristics Algorithms
2020Present chapter embodies an introductory overview of optimization and metaheuristic algorithms. An optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function.
Padam Singh, Sushil Kumar Choudhary
openaire +1 more source