This paper proposes the Self-Adaptive algorithm for Multi-Objective Constrained
Optimization by using Radial Basis Function Approximations, SAMO-COBRA. This algorithm …

This paper proposes a novel Self-Adaptive algorithm for Multi-Objective Constrained
Optimization by using Radial Basis Function Approximations, SAMO-COBRA. The algorithm …

Over the past decade, surrogate-assisted evolutionary algorithms have demonstrated their
effectiveness across various computationally expensive real-world domains. Nevertheless …

Bayesian optimization is often used to optimize expensive black box optimization problems
with long simulation times. Typically Bayesian optimization algorithms propose one solution …

This paper proposes a new parameterless constraint-handling technique, named
constrained probabilistic Pareto dominance (CPPD), for expensive constrained …

The computational cost of modern simulation-based optimization tends to be prohibitive in
practice. Complex design problems often involve expensive constraints evaluated through …

Expensive objectives and constraints are key characteristics of real-world multi-objective
optimization problems. In practice, they often occur jointly with inexpensive objectives and …

To decrease Europe's harmful emissions, the European Union aims to substantially increase
its offshore wind energy capacity. To further develop offshore wind energy, investment in …

The holistic accelerated concept design optimization method is a new method to optimize
ships in an efficient way. This optimization method is developed to automatically check …

Abstract Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools in
various domains due to their versatility and efficiency. Despite their numerous applications …