Finding exact solutions to many combinatorial optimization problems in busi ness,
engineering, and science still poses a real challenge, despite the impact of recent advances …

Redheaded Agama lizards attack their prey in a well-organized manner. This work models
the dynamic foraging behaviour of Agama lizards and their effective way of capturing prey …

One of the fastest growing sub-fields of Computational Intelligence and Soft Computing is
Evolutionary Computation. This field includes different optimization algorithms that are …

Due to the high complexity of real-world optimization problems, often it is not easy to solve
them using traditional or deterministic optimization methods. There are many real-world …

Novelty search is a tool in evolutionary and swarm robotics for maintaining the diversity of
population needed for continuous robotic operation. It enables nature-inspired algorithms to …

Bio-inspired optimization (including Evolutionary Computation and Swarm Intelligence) is a
growing research topic with many competitive bio-inspired algorithms being proposed every …

In this study, a novel metaheuristic algorithm, namely, carnivorous plant algorithm (CPA),
inspired by how the carnivorous plants adapting to survive in the harsh environment, was …

Meta-heuristic algorithms are problem-solving methods which try to find good-enough
solutions to very hard optimization problems, at a reasonable computation time, where …

In recent years, the optimization community has witnessed a surge in the popularity of
population-based optimization methods. However, many of these methods suffer from …

The area of metaheuristics has grown immensely in the past two decades as a solution to
real-world optimisation problems. They are able to perform well in situations where exact …