The future of optimization is now being conquered by modern meta-heuristic algorithms. Genetic algorithms, differential evolution, harmony search, firefly algorithm and cuckoo search are such meta-heuristic algorithms which ...

Recently developed meta-heuristic algorithms such as firefly algorithm, bat algorithm, particle swarm optimization and harmony search arc now becoming popular for providing nearly accurate solutions for tough optimization ...

Most real world combinatorial optimization problems are difficult to solve with multiple objectives which have to be optimized simultaneously. Over the last few years, researches have been proposed several ant colony ...

Most of the research on job shop scheduling problem are conceerned with minimization of a single objective. However, the real world applications of job shop scheduling problems are involved in optimizing multiple objectives. ...

The use of numerical methods to solve univariate nonlinear equations has many drawbacks. We propose a modified firefly algorithm [MOD FA] with a self-tuning ability to solve a given univariate nonlinear equation. Our ...