The share of gross domestic product from the service industry reflects the competitiveness of
a nation; the service industry in the USA accounts for around 80% of its gross domestic …

This paper proposes PSACO (particle swarm ant colony optimization) algorithm for highly
non-convex optimization problems. Both particle swarm optimization (PSO) and ant colony …

The successful handling of numerous real–world complex problems has increased the
popularity of nature–inspired intelligent (NII) algorithms and techniques. Their successful …

Finding the longest common subsequence (LCS) for a set of n (an arbitrary n> 2) sequences
is an NP-hard problem. It is an essential operation for a wide range of applications in the …

An adaptive parallel ant colony optimisation (PACO) algorithm on massively parallel
processors (MPPs) is presented. In the algorithm, we propose a strategy for information …

A metaheuristic is conventionally described as an iterative generation process which guides
a servient heuristic by combining intelligently different concepts for exploring and exploiting …

This study critically reviews multiagent systems (MAS) in construction. Given their
autonomous, cooperative, and learning attributes, MAS are a promising approach to …

Proper management of locations of the mobile devices is of great importance in this era of
wireless communication networks, as the use of the mobile devices has grown …

Ant colony optimization (ACO) is a meta-heuristic based on the indirect communication of a
colony of artificial ants mediated by pheromone trails with the collaboration and knowledge …

Transportation problem (TP) aims to reduce the entire transportation cost of moving
resources from various supply hubs to various demand hubs. However, in real-life situations …