An electric vehicle, as the name suggests, runs purely on electricity provided by battery
packs located under its floor. This electricity fuels the engine and converts electric power to …

In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …

The Traveling Salesman Problem (TSP) is the most popular and most studied combinatorial
problem, starting with von Neumann in 1951. It has driven the discovery of several …

Abstract The Orienteering Problem is a routing problem aiming at selecting a subset of a
given set of customers to be visited within a given time budget, so that a total revenue is …

This paper presents an adaptation of the flying ant colony optimization (FACO) algorithm to
solve the traveling salesman problem (TSP). This new modification is called dynamic flying …

Seasonal business operations hire workers depending on environmental conditions and
market prices. For example, during the growing and harvest seasons, agricultural …

Recent work applying deep reinforcement learning (DRL) to solve traveling salesman
problems (TSP) has shown that DRL-based solvers can be fast and competitive with TSP …

A swap sequence-based particle swarm optimization (SSPSO) technique and genetic
algorithm (GA) are used in tandem to develop a hybrid algorithm to solve generalized …

Tool-path optimization has been applied in many industrial applications, including
subtractive manufacturing likes drilling and additive manufacturing likes 3D printing. The …

This paper considers the optimal multi-agent persistent monitoring problem defined for a
team of agents on a set of nodes (targets) interconnected according to a fixed network …