Du KL, Swamy MNS. Search and Optimization by Metaheuristics. Switzerland: Springer; 2016Du, K.L.; Swamy, M.N.S. Search and Optimization by Metaheuristics. In Techniques and Algorithms Inspired by Nature; Birkha
As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic
2013, Applied Mathematics and Computation Show abstract Search and optimization by metaheuristics: Techniques and algorithms inspired by nature 2016, Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature View all citing articles on ScopusView...
This chapter considers the design of algorithms to solve hard combinatorial optimization problems, where one in general is not able to guarantee the quality of the computed solutions. When evaluating the estimator to the last node of a path, local search algorithms can be adapted to the state sp...
The complexity of engineering optimization problems is increasing. Classical gradient-based optimization algorithms are a mathematical means of solving complex problems whose ability to do so is limited. Metaheuristics have become more popular than exact
Even though most of the metaheuristics might fit to any kind of optimization problem most of them have some caveats / advantages in different fields. hego allows you to rapidly try different algorithms and experiment with the parameters in order to solve your problems in the best possible time-...
Local search approaches to combinatorial optimization are able to isolate optimal or near-optimal solutions within reasonable time constraints.This book introduces a method for solving combinatorial optimization problems that combines constraint programming and local search, using constraints to describe and ...
Types of Optimization Algorithms Mathematical Algorithms Simplex (LP), BFGS (NLP), B&B (DP) Drawbacks of Mathematical Algorithms LP: Too Ideal (All Linear Functions) NLP: Not for Discrete Var. or Complex Fn., Feasible Initial Vector, Local Optima DP: Exhaustive Enumeration, Wrong Direction Meta...
The design and management of such systems is a research challenge when considering (i) combination and optimization of multiple metaheuristics and (ii) enhancements of biologically inspired metaheuristic through technological advances. In this paper the swarm coordination of UAVs employed in target search...
Data classification feature selection global optimization deep learning metaheuristics 1. Introduction Due to the tremendous growth of advanced technologies, new internet, and computer applications have created massive number of information at a rapid speed, like text, video, voice, photo, and data attai...