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Everything about Evolutionary multimodal optimization
Finding multiple solutions of a problem
In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple solutions of a problem, as opposed to a single best solution. Evolutionary multimodal optimization is a branch of evolutionary computation, which is closely related to machine learning. Wong provides a short survey, wherein the chapter of Shir and the book of Preuss cover the topic in more detail. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Evolutionary multimodal optimizationA 5-minute orientation
- Skim a recent paper: Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman ProblemsInfluential work since 2022
- Pick up a classic book: Neural Information ProcessingThe most-reprinted book on the subject
- Read the landmark paper: Real-parameter evolutionary multimodal optimization — A survey of the state-of-the-artCited 290 times
- Go sideways: Evolutionary multi-objective optimizationA closely related topic
- Go sideways: Pareto frontierA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Real-parameter evolutionary multimodal optimization — A survey of the state-of-the-art
A Review of Evolutionary Multimodal Multiobjective Optimization
Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems
Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization
🆕 Influential since 2022
Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman Problems
A Generative Adversarial Networks Model Based Evolutionary Algorithm for Multimodal Multi-Objective Optimization
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy
A two-archive model based evolutionary algorithm for multimodal multi-objective optimization problems
Large-scale multimodal multiobjective evolutionary optimization based on hybrid hierarchical clustering
📚 Books worth reading
Neural Information ProcessingTingwen Huang · 2012
Multimodal Optimization by Means of Evolutionary AlgorithmsMike Preuss · 2015
AI 2012: Advances in Artificial IntelligenceMichael Thielscher · 2012- 📕Multimodal Optimization by Means of Evolutionary AlgorithmsMike Preuß · 2015
Design by evolutionPhilip F. Hingston, Luigi C. Barone · 2008
Foundations of genetic algorithms 7Kenneth A. De Jong, Riccardo Poli · 2001
Encyclopedia of emotionGretchen Reevy · 2010
Recent Trends in Applied Artificial IntelligenceMoonis Ali · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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