In general, Multi-objective Evolutionary Algorithms do not guarantee find solutions in the Pareto-optimal set. We propose a new approach for solving decomposable deceptive multi-objective problems that can find all solutions of the Pareto-optimal set. Basically, the proposed approach starts by decomposing the problem into subproblems and, then, combining the found solutions. The resultant appro...

Most of the derivative-free optimization (DFO) algorithms rely on a comparison function able to compare any pair of points with respect to a blackbox objective function. Recently, new dedicated derivative-free optimization algorithms have emerged to tackle multi-objective optimization problems and provide a Pareto front approximation to the user. This work aims at reusing single objective DFO a...

Batteries stacks are made of cells in certain series-parallel arrangements. Unfortunately, cell performance degrades over time terms capacity, internal resistance, or self-discharge rate. In addition, degradation rates heterogeneous, leading to cell-to-cell variations. Balancing systems can be used equalize those differences. Dissipative non-dissipative systems, so-called passive active balanci...