The increasing population of microgrids with various kinds of plug and play energy
resources and rapidly varying demand in distribution systems are multiplying the complexity …

Dynamic multiobjective optimization (DMO) has received growing research interest in recent
years since many real-world optimization problems appear to not only have multiple …

Cyber Physical Systems (CPS) has been a popular research area in the last decade. The
dependability of CPS is still a critical issue, and few surveys have been published in this …

Automatic text summarization methods are increasingly needed nowadays. Extractive multi-
document summarization approaches aim to obtain the main content of a document …

Multi-objective optimization is many important since most of the real world problems are in
multi-objective category. Looking at the literature, the algorithms proposed for the solution of …

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 …

Insect value chains are a complex system with non-linear links between many economic,
environmental, and social variables. Multi-objective optimization (MOO) algorithms for …

Supercritical CO 2 Brayton cycle has emerged as an alternative power block for
Concentrated Solar Thermal (CST) systems and nuclear plants. In order to optimise the …

Supercritical carbon dioxide (s-CO2) can be used both as a heat transfer and working fluid
in solar power tower plants. The main concern in the design of a direct s-CO2 receiver is the …

This paper presents the hybrid approach of two nature inspired metaheuristic algorithms;
Cuckoo Search (CS) and Particle Swarm Optimization (PSO) for solving optimization …