A Study of Bio-Inspired Meta-heuristic Algorithms for Energy Optimization

Colossal scale industrial and technological developments have been witnessed during the past century. These developments have however been accompanied with phenomenal rise in energy demands. In the absence of suitable replenishment of earth’s limited energy resources, the world is today experiencing an acute energy crisis. Researchers today are thus focusing their attention on finding methods to develop technically efficient systems that utilize minimal energy resources. Various algorithms have been used by the researchers to solve this highly complex and computationally intensive energy optimization problem. Recently, the use of bio-inspired meta-heuristic algorithms has proved their efficacy in solving such energy optimization complex problems. This paper studies the use of bio-inspired meta-heuristic algorithms in various phases of manufacturing of the energy systems for minimizing their energy consumption while maximizing their efficiency in terms of performance. Future scope and directions of research in this area have also been discussed.