Computationally expensive multiobjective optimization problems arise, eg in many
engineering applications, where several conflicting objectives are to be optimized …

The coinciding development of multiobjective evolutionary algorithms (MOEAs) and the
emergence of complex problem formulation in the finance and economics areas has led to a …

The design of personalized day-tour routes for tourists plays a fundamental role in improving
tourists' travel experiences, and it is a crucial practice for managers of tourist attractions in an …

According to the increasing carbon dioxide released through vehicles and the shortage of
water resources, decision-makers decided to combine the environmental and economic …

A substantial transformation has occurred in tourist behavior in the postmodern tourism era,
where the tourism market is dominated by the demand for tailored experiences. Therefore …

In the early design phase of vehicles, performing lightweight design of body-in-white (BIW)
using shape, size and topology optimization is a challenge. The large amount of design …

This paper presents a new multi-objective optimization algorithm called FC-MOPSO for
optimal design of engineering problems with a small number of function evaluations. The …

Most current approaches in the evolutionary multiobjective optimization literature
concentrate on adapting an evolutionary algorithm to generate an approximation of the …

Recommender systems are widely adopted by firms as an innovative personalization tool
across various industries. Most of the existing tour recommender systems treat the spatial …

A photometric optimization model for correlated color temperature (CCT) tunable white LED
clusters, including down-conversion energy loss, was developed under the constraint of …