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Everything about Meta-optimization
Meta-optimization from numerical optimization is the use of one optimization method to tune another optimization method. Meta-optimization is reported to have been used as early as in the late 1970s by Mercer and Sampson for finding optimal parameter settings of a genetic algorithm. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Meta-optimizationA 5-minute orientation
- Skim a recent paper: Dung beetle optimizer: a new meta-heuristic algorithm for global optimizationInfluential work since 2022
- Pick up a classic book: Panel Ne Diyor, Kasa Ne Diyor?The most-reprinted book on the subject
- Read the landmark paper: A new meta-heuristic method: Ray OptimizationCited 754 times
- Go sideways: Particle swarm optimizationA closely related topic
- Go sideways: MetaheuristicA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
A new meta-heuristic method: Ray Optimization
A novel meta-heuristic optimization algorithm: Thermal exchange optimization
Colliding bodies optimization: A novel meta-heuristic method
Initializing Bayesian Hyperparameter Optimization via Meta-Learning
Transient search optimization: a new meta-heuristic optimization algorithm
FBI inspired meta-optimization
Meta-learning for evolutionary parameter optimization of classifiers
Poplar optimization algorithm: A new meta-heuristic optimization technique for numerical optimization and image segmentation
🆕 Influential since 2022
Dung beetle optimizer: a new meta-heuristic algorithm for global optimization
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems
Snake Optimizer: A novel meta-heuristic optimization algorithm
Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems
📚 Books worth reading
Panel Ne Diyor, Kasa Ne Diyor?Adem Demir · 2026
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Particle swarm optimization In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a population…
- Metaheuristic In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select…
- Evolutionary computation Evolutionary computation (EC) from computer science is a family of algorithms for global optimization inspired by biological evolution, and a subfield…
- List of metaphor-based metaheuristics This is a chronologically ordered list of metaphor-based metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing…
- Genetic algorithm A genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)…
- Table of metaheuristics This is a chronological table of metaheuristic algorithms that only contains fundamental computational intelligence algorithms. Hybrid algorithms and multi-obje…
- Evolutionary algorithm Evolutionary algorithms (EA) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least…
- MOEA Framework The MOEA Framework is an open-source evolutionary computation library for Java that specializes in multi-objective optimization. It supports a variety…