Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives.

Editorial on the Research Topic Evolutionary multi-objective optimization algorithms in microgrid power dispatching With the increase of the scale of the micro-grid system, the optimization of ...

This paper focuses on multi-objective optimization methods to address control strategies in microgrid systems. We introduce an unique problem formulation capable of processing real-time data and ...

This paper proposes a novel optimization method for the A* algorithm to address the search efficiency problem in multi-objective path planning. The approach combines the A* algorithm with an annealing ...

Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

We study the multiple objective discrete optimization (MODO) problem and propose two-stage optimization problems as subproblems to be solved to obtain efficient solutions. The mathematical structure ...

Computational optics integrates optical hardware and algorithms, enhancing imaging capabilities through joint optimization ...

In the context of increasing complexity and uncertainty in global supply chains, multimodal transport, as an important means ...