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Joshua Knowles

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Book Open access Jul 2026

Bi-objective Stochastic Simulation Optimization on Integer Lattices via Scalarization

This work addresses the challenging problem of multiobjective optimization via stochastic simulation over a discrete design space via stochastic simulation over a discrete design space by integrating a discrete Genetic Algorithm with specialized local and jump mutation operators as the inner optimizer.

Sebastián Rojas Gónzalez, I. Couckuyt, Joshua Knowles · 0 citations
Book Open access Jul 2026

Not All Problems Are Equal: Weighted Performance Profiles For Many-Objective Optimization

By employing a difficulty-aware weighting scheme, the approach biases aggregation toward higher-dimensional instances, enabling a more discriminative assessment of scalability, robustness, and performance.

Regina C. L. C. de Sousa, Dênis E. C. Vargas, Elizabeth F. Wanner et al. · 0 citations
Open access Aug 2026

A general hybrid framework for many-objective optimization: integrating local search into reference-vector-based evolutionary algorithms

Results show that integrating local search significantly enhances performance, while a principled method for setting hybrid parameters ensures robustness and reproducibility, highlighting the potential of combining mathematical programming techniques with evolutionary algorithms for high-dimensional many-objective optimization problems.

Regina C. L. C. de Sousa, Dênis E. C. Vargas, Elizabeth F. Wanner et al. · 0 citations