Based on the publications from two databases during 1998–2020, this paper presents a
systematic literature review on pavement maintenance effectiveness evaluation to …

Many design problems in engineering are typically multiobjective, under complex nonlinear
constraints. The algorithms needed to solve multiobjective problems can be significantly …

Engineering optimisation is typically multi-objective and multidisciplinary with complex
constraints, and the solution of such complex problems requires efficient optimisation …

Abstract Design problems in industrial engineering often involve a large number of design
variables with multiple objectives, under complex nonlinear constraints. The algorithms for …

Modern multi-megawatt wind turbines are currently designed as pitch-regulated machines,
ie, machines that use the rotation of the blades (pitching) in order to adjust the aerodynamic …

Autonomous decision making is a critical and difficult task for intelligent vehicles in dynamic
transportation environments. In this paper, a reinforcement learning approach with value …

Clustering remains a vibrant area of research in statistics. Although there are many books on
this topic, there are relatively few that are well founded in the theoretical aspects. In Robust …

The necessity of considering the environment as an additional design factor arises due to
increasing environmental conscience worldwide and stricter requirements to reduce the …

This work presents a Computer-Aided Molecular Design (CAMD) method for the synthesis
and selection of binary working fluid mixtures used in Organic Rankine Cycles (ORC). The …

We propose an enhanced multi-objective harmony search (EMOHS) algorithm and a
Gaussian mutation to solve the flexible flow shop scheduling problems with sequence …