A new evolutionary technique for multimodal optimization called roaming optimization (RO) is presented. Multiple optima are detected using subpopulations ...

A multimodal optimization technique called Roaming. Optimization (RO) [6, 5] using independent subpopulations has been proposed. Roaming uses a diversity ...

A new evolutionary technique for multimodal optimization called roaming optimization (RO) is presented, which detects multiple optima using subpopulations ...

A new evolutionary technique for multimodal optimization called Roaming optimization (RO) is presented. Multiple optima are detected using subpopulations ...

A new evolutionary technique for multimodal optimization called roaming optimization (RO) is presented. Multiple optima are detected using subpopulations ...

Apr 22, 2023 · In this study, we propose a multipopulation multimodal evolutionary algorithm based on hybrid hierarchical clustering to solve such problems.

In this paper, we present a two-phase multimodal optimization model designed to efficiently and accurately identify multiple optima.

Roaming optimization is a new evolutionary technique that is used for multimodal optimization. Roaming uses multiple subpopulations evolving in isolation in ...

Jul 15, 2024 · In this paper, a reinforcement learning-based neighborhood search operator (RLNS) is proposed for multi-modal optimization problems.

... A new evolutionary technique for multimodal optimization called Roaming is proposed. Roaming uses a number of roaming subpopulations in order to detect Fig.