Titlebook: Metaheuristics: Outlines, MATLAB Codes and Examples; Ali Kaveh,Taha Bakhshpoori Book 2019 Springer Nature Switzerland AG 2019 meta-heurist

除草劑

Entreaty

Introduction,ptimal situation. From a general point of view, any optimization problem can be considered as a decision-making problem, and the question is whether or not there is any better solution to the problem than the one we have found. In other words, optimization means to reach a solution as good as possib

透明

Preliminaries and Frameworks,asic notions of the MATLAB program as well as definitions and notations from metaheuristics for constrained optimization problems, a simplified standard template for metaheuristics is presented. Then the presentation and evaluation frameworks of the considered algorithms are described.

戰(zhàn)勝

Myofibrils

Big Bang-Big Crunch Algorithm, or physics-based metaheuristic has been developed by Erol and Eksin [1]. The algorithm named as Big Bang-Big Crunch (BB-BC) is taken from the prevailing evolutionary theory for the origin of universe: the Big Bang Theory. According to this theory, in the Big Bang phase, particles are drawn toward i

鬼魂

輕浮思想

Imperialist Competitive Algorithm,d optimization algorithm. ICA was firstly used by Kaveh and Talatahari [3] for steel structural optimization. Like other population-based metaheuristics, ICA starts with a set of random initial candidate solutions, as the initial countries. A specific number of best countries are considered as the e

insincerity

Cuckoo Search Algorithm,oo species in combination with the Lévy flight. It is also used in steel structural optimization problems by Kaveh and Bakhshpoori [3, 4]. Cuckoos are fascinating birds because of their special lifestyle and aggressive reproduction strategy. These species lay their eggs in the nests of other host bi

諂媚于人

控制

Colliding Bodies Optimization Algorithm, physics laws of momentum and energy that govern the collisions accrued between solid bodies. The CBO is simple in concept and does not depend on any internal parameters. In this regard, it has been used to solve a wide variety of optimization problems encountered in practice. CBO also has been used