As cities worldwide begin embracing low-altitude logistics to support rapid, flexible deliveries by drones, urban planners face an increasingly ...

In the new era, the Internet of Everything (IoE) provides distributed services like data, processes, people, and things, etc. The services to the connected IoE significantly increase the time of ...

Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved evolutionary algorithm ...

In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named p-optimality ...

This paper frames hardware-aware neural network pruning as a multi-objective optimization problem and introduces HAMP, a memetic Multi-Objective Evolutionary Algorithm (MOEA) that optimizes both ...

Liu et al., propose a novel cooperation multi-objective optimization approach: multi-swarm multi-objective evolutionary algorithm based on decomposition (MSMOEA/D). The performance of MSMOEA/D is ...

To handle the multiobjective optimization problems of porous structure design, this work introduced an improved multi-objective optimization algorithm, which is called a multi-swarm multi-objective ...

Article citations More>> Deb, K. (2001) Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Hoboken. has been cited by the following article: TITLE: Three-Objective Programming with ...