Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new
algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based …

Due to the complexity and the magnitude of optimisation models that appeared in
sustainable supply chain management (SSCM), the use of meta-heuristic algorithms as …

Many problems in science and engineering can be formulated as optimization problems,
subject to complex nonlinear constraints. The solutions of highly nonlinear problems usually …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

A techno-economic study has been proposed for an off-grid combined renewable energy
system (HRES) by photovoltaic (PV) and fuel cell (FC) systems. The proposed HRES has …

Multiobjective design optimization problems require multiobjective optimization techniques
to solve, and it is often very challenging to obtain high-quality Pareto fronts accurately. In this …

This research work crucially deals with a techno-economic feasibility study for off-grid solar
photovoltaic fuel cell (PV/FC) hybrid systems. The hybrid renewable energy system is …

To maximize solar photovoltaic (PV) output under dynamic weather conditions, maximum
power point tracking (MPPT) controllers are incorporated in solar PV systems. However, the …

Introduction of vehicle-to-grid technology offer electric vehicles (EVs) to participate in
different ancillary services under competitive electric market. EVs provide an opportunity to …

Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …