An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …

In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …

In this work, a novel metaheuristic optimization algorithm called Special Relativity Search
(SRS) is proposed. The SRS is inspired by the interaction of particles in an electromagnetic …

River flood routing computes changes in the shape of a flood wave over time as it travels
downstream along a river. Conventional flood routing models, especially hydrodynamic …

Perishable food products present a production-inventory routing dilemma critical to logistics
planning for several industries. Due to the speedy deterioration of perishable food products …

This work presents an inventory model with partial backlogged shortages for deteriorating
items over finite time horizon. Here, the deterioration rate is considered as a random …

In this paper, a novel hybrid Neural Network Algorithm-Differential Evolution (NNA-DE)
optimizer which integrates both NNA and DE is proposed. The proposed hybrid NNA-DE …

New centralized automation functions in distribution system control centers are needed in
order to ensure the control of both distribution network and connected DGs. Consequently …

In a canonical particle swarm optimization (PSO) algorithm, the fitness is a widely accepted
criterion when selecting exemplars for a particle, which exhibits promising performance in …

Increasing concerns over environmental pollution across the globe have encouraged us to
replace some conventional products with green products. The production cost for green …