Recently, more and more multi/many-objective algorithms have been proposed. However,
most evolutionary algorithms only focus on solving small-scale multi/many-objective …

This paper investigates an energy-efficient hybrid flowshop scheduling problem with the
consideration of machines with different energy usage ratios, sequence-dependent setups …

Energy saving has attracted growing attention due to the advent of sustainable
manufacturing. By this motivation, this paper studies a hybrid flowshop green scheduling …

Introduction An engineering system consists of properly established activities and put
together to achieve a predefined goal. These activities include analysis, design …

The advent of the digital era dramatically enriches the information obtained by people
through vision and urges people to put forward higher requirements for image display …

Abstract A novel Multi-Objective Passing Vehicle Search (MOPVS) algorithm is proposed for
structural design optimization. MOPVS is inspired by the two-lane highway passing vehicle …

Reservoir operation optimization is very important in water resource development and
management. This paper focuses on the bi-objective optimization problems via proposing a …

Lot streaming is the most widely used technique to facilitate the overlap of successive
operations. Considering the consistent sublots and machine breakdown, this study …

Multi-objective evolutionary algorithm based on decomposition has been well-recognized in
addressing bi-objective optimization problems. However, it is a serious challenge for …

This paper proposes an intelligent multi-objective optimization approach using the deep
feedforward neural network (DNN) integrated with the speed-constrained multi-objective …