The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …

Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …

With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …

Classical optimization algorithms are insufficient in large scale combinatorial problems and
in nonlinear problems. Hence, metaheuristic optimization algorithms have been proposed …

From the early 1990s, the introduction of the term “Computational Intelligence”(CI)
highlighted the potential applicability of this field. One of the preliminary applications of the …

This book exemplifies how algorithms are developed by mimicking nature. Classical
techniques for solving day-to-day problems is time-consuming and cannot address complex …

Keeping in view of the limitations of the traditional optimization techniques, the researchers
have developed a number of advanced optimization algorithms popularly known as …

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular
optimization algorithms based on nature, starts with an overview of optimization going from …

Annual crop planning (ACP) is an NP-hard type optimization problem in agricultural
planning. It involves finding the optimal solution for the seasonal hectare allocations of a …

This chapter focuses the light on new research trends. It discusses classifications of the
nature-inspired algorithms and presents a brief list of algorithms followed by several different …