This paper develops a novel hybrid algorithm for solving transmission expansion planning
(TEP) problems in electric power networks. Raising the awareness about immense …

Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …

Transmission expansion planning (TEP) problem is a study of identifying new transmission
lines that need to be added to an existing electrical system, and researchers' interest in TEP …

This paper proposes an improved binary bat algorithm (IBBA) for solving static and dynamic
transmission network expansion planning (TNEP) problems for standard and realistic …

Firefly algorithm is a nature-inspired optimization algorithm and there have been significant
developments since its appearance about 10 years ago. This chapter summarizes the latest …

Nowadays, the increase in criminal activities has resulted in a massive generation of crime
reports describing the details of the crime incidents. Analyzing these reports for crime type …

Recently, a novel population-based optimisation algorithm, namely firefly algorithm (FA),
which mimics the flashing and attraction behaviour of fireflies, has shown promising …

The reform of the electricity market has brought many new challenges to transmission
expansion planning (TEP). This paper categorizes existing transmission planning literatures …

With the ever increasing demand and stressed operating conditions, resource expansion is
the only way to have sustainable electric grid. Transmission system expansion is one of the …

Transmission network planning problem (TNPP) is one of the pertinent issues of the
planning activities in power systems. It aims to optimally pick out the routs, types, and …