Table of contents
Back View
Imperial Competition
Basic Definition
Advantages
Firefly Principle
Improvement Ideas
Based on Firefly Improved Imperial Competition Multi-objective Solving
Code
Result Analysis
Outlook
back view
Multi-objective multi-parameter optimization is a frequently encountered optimization problem. There are many traditional algorithms that can be solved, such as fiminmax, fmincon, etc., but they are easy to fall into local optimum. In this paper, the imperial competitive optimization firefly algorithm is used to solve multi-objective problems
Imperial Competition Algorithm
Basic Definition of Imperial Rivalry
Inspired by the colonial competition mechanism of imperialism, Atashpaz-Gargari and Lucas proposed a new intelligent optimization algorithm—Imperial Competition Algorithm (ICA) in 2007. Unlike GA, PSO, ABC and other swarm intelligence algorithms inspired by biological behaviors, ICA is inspired by social behaviors and is an optimization method formed by simulating the colonial assimilation mechanism and empire competition mechanism. ICA is also a population-based optimization method whose solution space consists of individuals called countries. The ICA divides countries into subgroups called empires. In each empire, ICA makes non-optimal countries (colonies) approach optimal countries (imperialist countries) through the assimilation mechanism, which is similar to PSO. The empire competition mechanism is the key to ICA. ICA uses the empire competition mechanism to move one or more colonies of the weakest empire to other empires, so that information exchange between empires can take place.
Many foreign scholars have done a lot of research on the performance improvement and practical application of ICA, and have made some progress. ICA has been widely used to solve various practical optimization problems, such as scheduling problems, classification problems, mechanical design, etc. However, the algorithm still has defects such as rapid decline in diversity and premature convergence. In addition, the time proposed by ICA is relatively short, and there is still a lot of room for research
Advantages of imperial competition
Compared with PSO and GA, the imperial competition algorithm has fast convergence speed, high convergence precision, and strong global