Swarm robotic is well known for its flexibility, scalability and robustness that make it suitable
for solving many real-world problems. Source searching which is characterized by complex …

Particle swarm optimization (PSO) is a well-known metaheuristic and population based
optimization algorithm. PSO has been used in many science and engineering applications …

Target searching with autonomous robots require an efficient target search method that
considers their constraints and environmental characteristics. Particle swarm optimization …

Interactions in swarm robotic search are explored for intelligence emergence based on
Extended Particle Swarm Optimization (EPSO) model. For this end, the best combination of …

Dynamic target searching is one of the most practical and realistic problems within a multi-
agent system. It requires an effective and efficient cooperation strategy to address the …

Cooperation between individuals plays a very important role when swarm robots search for
targets. In this article, we present a novel approach that is based on the distributed particle …

Swarm Intelligence (SI) is one of the research fields that has continuously attracted
researcher attention in these last two decades. The flexibility and a well-known …

Source signal detection plays important roles in many real-world target searching problems.
Source detection is necessary before a full search process utilizing the detected signal can …

In this paper, a novel heuristic algorithm is proposed to solve continuous non-linear
optimization problems. The presented algorithm is a collective global search inspired by the …

Target searching in unknown environment using multi-robot search systems has received
increasing attention in recent years. Particle Swarm Optimization (PSO) has applied …