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Found 6 papers, 2 papers with code
Analysis of the $(μ/μ_I,λ)$-CSA-ES with Repair by Projection Applied to a Conically Constrained Problem
Based on that, expressions for the steady state of the mean value iterative system are derived.
Analysis of the $(μ/μ_I,λ)$-$σ$-Self-Adaptation Evolution Strategy with Repair by Projection Applied to a Conically Constrained Problem
Approximate deterministic evolution equations are formulated for analyzing the strategy's dynamics.
A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem
The development, assessment, and comparison of randomized search algorithms heavily rely on benchmarking.
A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization under Linear Constraints
This paper addresses the development of a covariance matrix self-adaptation evolution strategy (CMSA-ES) for solving optimization problems with linear constraints.
Benchmarking Evolutionary Algorithms For Single Objective Real-valued Constrained Optimization - A Critical Review
Benchmarking plays an important role in the development of novel search algorithms as well as for the assessment and comparison of contemporary algorithmic ideas.
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization
The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a popular method to deal with nonconvex and/or stochastic optimization problems when the gradient information is not available.
