The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

In recent years, the development of new algorithms for multiobjective optimization has
considerably grown. A large number of performance indicators has been introduced to …

In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

We introduce COCO, an open-source platform for Comparing Continuous Optimizers in a
black-box setting. COCO aims at automatizing the tedious and repetitive task of …

This survey compiles ideas and recommendations from more than a dozen researchers with
different backgrounds and from different institutes around the world. Promoting best practice …

We present two software packages for derivative-free optimization (DFO): DFO-LS for
nonlinear least-squares problems and Py-BOBYQA for general objectives, both with optional …

The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

Battery energy storage systems (BESSs) have gained significant attention for their various
applications in power systems. However, the charging and discharging of a battery cause …

The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …

New metaheuristic algorithms have soared over the past ten years. A common practice in
proposing a new algorithm is validating it on several benchmark functions and engineering …