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 …

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 …

To overcome the deficiencies of weak local search ability in genetic algorithms (GA) and
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …

Abstract Ant Colony Optimization (ACO) algorithm is one of the effective solutions to solve
the problem of combination optimization like traveling salesman problem (TSP) which …

Multiple traveling salesmen problem (MTSP) is not only a generalization of the traveling
salesman problem (TSP), but also more suitable for modeling practical problems in the real …

Mobile collection of e-waste on demand is one of the methods that can contribute to an
increase in the collection rate of waste. In this method, a person requests the waste pick up …

Particle swarm optimization (PSO) algorithm, one of the most popular swarm intelligence
algorithms, has been widely studied and applied to a large number of continuous and …

This paper investigated an Earth observation scheduling problem for agile satellites under a
time window constraint and resource constraints of limited on-board memory capacity and …

This paper applies a hybrid simulated annealing–tabu search algorithm to solve the
Traveling Salesman Problem (TSP). Fully considering the characteristics of the hybrid …

Over the last few decades, many nature-inspired algorithms have been proposed for solving
complex and difficult problems. Each algorithm has its own merits and drawbacks. One of …