This paper presents a Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for the optimal operation of a complex multipurpose and multi-reservoir system. Firstly, MOEA/D decomposes a multi-objective optimization problem into a number of scalar optimization sub-problems and optimizes them simultaneously. It uses information of its several neighboring sub-problems for optimizin...

Abstract Complexity measures aim to characterize the underlying complexity of supervised data. These tackle factors hindering performance Machine Learning ( ML ) classifiers like overlap, density, linearity, etc. The state-of-the-art has mainly focused on dataset perspective complexity, i.e., offering an estimation whole dataset. Recently, instance also been addressed. In this paper, hostility ...

obesity with an increasing prevalence rate worldwide is correlated with multiple comorbidities. unfortunately, the currently available therapies such as the pharmacotherapy, bariatric surgery or gene-transfer technology are associated with a number of disadvantages including undesirable side effects, poor compliance or transient effectiveness. therefore, modifications of the lifestyle factors m...

Compiling the votes of a subelectorate consists storing subset voters in compressed form, such that winners can still be determined when additional are included. This leads to notion compilation complexity, which has already been investigated for single-winner voting rules. We perform complexity analysis several common multi-winner