V diplomski nalogi opišemo raziskovalno področje evolucijskih algoritmov in podamo lastnosti funkcij optimizacijskih problemov, ki smo jih uporabili kot testne funkcije. Preučili smo delovanje populacijskega optimizacijskega algoritma optimizacije s čebelami, z njim testirali testne funkcije z različnimi vhodnimi podatki, zbrali in analizirali dobljene rezultate, ter jih primerjali z rezultati, dobljenimi z drugimi algoritmi.In this diploma work, we describe the research area of evolutionary algorithms, and convey some properties of functions for optimization problems that we use as test functions. We have considered the operation of the population based optimization algorithm, called Bees Algorithm. We test with different test functions, c...
Nature has always been an example of perfection and inspiration. In nature, everything has reasons w...
Abstract This paper presents OptBees, a new bee-inspired algorithm for solving continuous optimizati...
Bee Colony Optimization (BCO) is a meta-heuristic method based on foraging habits of honeybees. T...
This thesis deals with four optimization algorithms inspired by nature. It describes ant colony opti...
Genetski algoritam i optimizacija rojem čestica su metaheuristički optimizacijski alati. Genetski al...
Optimization algorithms are search methods where the goal is to find an optimal solution to a proble...
Optimization algorithms are search methods where the goal is to find an optimal solution to a proble...
The task of this thesis was focused on comparison selected evolutionary algorithms for their success...
Táto práca sa zaoberá genetickými algoritmami, ich terminológiou a využitím. Popisuje rôzne problémy...
An improved swarm-based optimisation algorithm from the Bees Algorithm family for solving complex op...
Optimization problems are considered to be one kind of NP hard problems. Usually heuristic approache...
Metaheuristic algorithms have become powerful tools for modeling and optimization. In this article, ...
The aim of this Bachelor's Thesis was to get acquainted with the Evolutionary Optimization Technique...
This paper is an extensive survey of the Bee Colony Optimization (BCO) algorithm, proposed for th...
Ovaj rad bavi se pružanjem teorijskog uvoda o radu evolucijskih algoritama (EA) kao algoritama koji ...
Nature has always been an example of perfection and inspiration. In nature, everything has reasons w...
Abstract This paper presents OptBees, a new bee-inspired algorithm for solving continuous optimizati...
Bee Colony Optimization (BCO) is a meta-heuristic method based on foraging habits of honeybees. T...
This thesis deals with four optimization algorithms inspired by nature. It describes ant colony opti...
Genetski algoritam i optimizacija rojem čestica su metaheuristički optimizacijski alati. Genetski al...
Optimization algorithms are search methods where the goal is to find an optimal solution to a proble...
Optimization algorithms are search methods where the goal is to find an optimal solution to a proble...
The task of this thesis was focused on comparison selected evolutionary algorithms for their success...
Táto práca sa zaoberá genetickými algoritmami, ich terminológiou a využitím. Popisuje rôzne problémy...
An improved swarm-based optimisation algorithm from the Bees Algorithm family for solving complex op...
Optimization problems are considered to be one kind of NP hard problems. Usually heuristic approache...
Metaheuristic algorithms have become powerful tools for modeling and optimization. In this article, ...
The aim of this Bachelor's Thesis was to get acquainted with the Evolutionary Optimization Technique...
This paper is an extensive survey of the Bee Colony Optimization (BCO) algorithm, proposed for th...
Ovaj rad bavi se pružanjem teorijskog uvoda o radu evolucijskih algoritama (EA) kao algoritama koji ...
Nature has always been an example of perfection and inspiration. In nature, everything has reasons w...
Abstract This paper presents OptBees, a new bee-inspired algorithm for solving continuous optimizati...
Bee Colony Optimization (BCO) is a meta-heuristic method based on foraging habits of honeybees. T...