The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

Combinatorial optimization problems are often considered NP-hard problems in the field of
decision science and the industrial revolution. As a successful transformation to tackle …

Traveling salesman problem (TSP) is one typical combinatorial optimization problem. Ant
colony optimization (ACO) is useful for solving discrete optimization problems whereas the …

Meta-heuristic algorithms inspired by biological species have become very popular in recent
years. Collective intelligence of various social insects such as ants, bees, wasps, termites …

The traveling salesman problem (TSP) is one of the most intensively studied problems in
computational mathematics. This paper proposes a swarm intelligence approach using a …

Abstract Grey Wolf Optimizer (GWO) is a recently developed population-based metaheuristic
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …

This article presents the Ant Colony Optimization algorithm to solve the Travelling Salesman
Problem. The proposed algorithm implements three novel techniques to enhance the overall …

Truck-drone hybrid delivery is a hybrid one combining the advantages including large
capacity of truck and high travel speed of drone together. Vehicle routing problem with …

Aiming at the problems of slow convergence speed, low solution quality, and easily falling
into a local optimum in solving traveling salesman problem (TSP) with genetic algorithm …

The energy-efficient distributed job shop scheduling problem (EEDJSP) is studied in this
paper with the criteria of minimizing both makespan and energy consumption. A …