ArticleArchives of computational methods in engineering : state of the art reviews2022
Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding.
Article in Archives of computational methods in engineering : state of the art reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
6 citing papers in PubMed.
- Multi scenario chaotic transient search optimization algorithm for global optimization technique.Scientific reports · 2025Article
- Crocodile optimization algorithm for solving real-world optimization problems.Scientific reports · 2024Article
- Medical image segmentation based on simulated annealing and opposition-based learning island algorithm.PloS one · 2024Article
- Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications.Archives of computational methods in engineering : state of the art reviews · 2023Article
- An Inclusive Survey on Marine Predators Algorithm: Variants and Applications.Archives of computational methods in engineering : state of the art reviews · 2023Review
- A Comprehensive Survey on Arithmetic Optimization Algorithm.Archives of computational methods in engineering : state of the art reviews · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Humans take immense pride in their ability to be unpredictably intelligent and despite huge advances in science over the past century; our understanding about human brain is still far from complete. In general, human being acquire the high echelon of intelligence with the ability to understand, reason, recognize, learn, innovate, retain information, make decision, communicate and further solve problem. Thereby, integrating the intelligence of human to develop the optimization technique using the human problem-solving ability would definitely take the scenario to next level thus promising an affluent solution to the real world optimization issues. However, human behavior and evolution empowers human to progress or acclimatize with their environments at rates that exceed that of other nature based evolution namely swarm, bio-inspired, plant-based or physics-chemistry based thus commencing yet additional detachment of Nature-Inspired Optimization Algorithm (NIOA) i.e. Human-Inspired Optimization Algorithms (
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.