This paper presents an overview of significant advances made in the emerging field of
nature-inspired computing (NIC) with a focus on the physics-and biology-based approaches …

In the past three decades nature-inspired and meta-heuristic algorithms have dominated the
literature in the broad areas of search and optimization. Harmony search algorithm (HSA) is …

Vessels served by a container port can usually be classified into two types: deep-sea
vessels and feeders. While the arrival times and service times of deep-sea vessels are …

The new era knowledge of optimization algorithm is massively boosted recently. Among
several optimization models, multi-swarm approach has been proposed most recently for …

With the overwhelming amount of transportation data being gathered worldwide, Intelligent
Transportation Systems (ITS) are faced with several modeling challenges. New modeling …

This article presents an advanced stochastic time‐cost tradeoff (ASTCT) method that
performs time‐cost tradeoff analysis by identifying optimal set (s) of construction methods for …

While rail transport is growing for medium-distance journeys, the first and last miles are
travelled by road, marking a change of transport mode in inland terminals (ITs). Moreover …

With the bottleneck of port operation moving from the quay side to the yard area, storage
yard management is becoming increasingly important in the container terminal. This paper …

Container terminals play a significant role as representative logistics facilities for
contemporary trades by handling outbound, inbound, and transshipment containers to and …

Several studies exist in the literature that utilized metaheuristics and nature-inspired
algorithms to solve engineering problems. Particle Swarm Optimization (PSO) is a well …