Understanding the affective needs of customers is crucial to the success of product design.
Hybrid Kansei engineering system (HKES) is an expert system capable of generating …

This study proposes an expert system, which is called hybrid Kansei engineering system
(HKES) based on multiple affective responses (MARs), to facilitate the development of …

Understanding the needs of consumers is essential to the success of product design.
Affective responses are a reflection of affective needs, often encompassing many aspects …

Many companies are using product families and platform-based product development to
reduce costs and time-to-market while increasing product variety and customization. Multi …

Affective responses concern customers' affective needs and have received increasing
attention in consumer‐focused research. To design a product that appeals to consumers …

Evolutionary optimization algorithms work with a population of solutions, instead of a single
solution. Since multi-objective optimization problems give rise to a set of Pareto-optimal …

The dynamic multi-objective optimization problem (DMOP) is a common problem in
optimization problems; the main reasons are the objective's conflict and environment …

This book presents an extensive variety of multi-objective problems across diverse
disciplines, along with statistical solutions using multi-objective evolutionary algorithms …

Product design and manufacturing are tightly connected to innovation. They have thus been
the key areas that support and influence a nation's economy since the eighteenth century …

This paper proposes a novel and an effective multi-objective optimization algorithm named
multi-objective sine-cosine algorithm (MO-SCA) which is based on the search technique of …