Over the past few years, natural intelligence-inspired adaptive metaheuristics have been developed as robust computational paradigms for solving intricate multi-objective optimization problems (MOPs).

Abstract: To optimize the solving efficiency of multi-objective path planning problems, this paper proposes an improved solution based on Whale Optimization Algorithm (IDWOA). First, a greedy strategy ...

Coordenação de Modelagem Computacional, Laboratório Nacional de Computação Científica, Petrópolis, Brazil de novo Drug Design (dnDD) aims to create new molecules that satisfy multiple conflicting ...

Abstract: In recent years, many multimodal multi-objective evolutionary algorithms (MMOEAs) have been proposed for the widely existing multimodal multi-objective optimization problems (MMOPs) in ...

Network on Chip (NoC) is a new paradigm for the design of core based System on Chip. It is expected to provide huge computation power due to its higher clock frequencies and parallel execution of ...

Biogeography-based optimization (BBO) is an intelligent evolutionary algorithm based on biological populations, increasing the optimization search ability by adaptive migration operation. However, the ...

In this paper, we aim to find ecient solutions of a multi-objective optimization problem over a linear matrix inequality (LMI in short), in which the objective functions are SOS-convex polynomials. We ...