In this paper, cantilever retaining wall design is studied as an important optimization task in civil engineering. The current study explores the efficiency of some recent swarm intelligence techniques: accelerated particle swarm optimization (APSO), firefly algorithm (FA), and cuckoo search (CS). These algorithms are verified using two benchmark case studies. In order to better determine the p...

The Particle Swarm Optimization (PSO) Algorithm is one of swarm intelligence optimization algorithms. Usually the population’s values of PSO algorithm are random which leads to random distribution of search quality and search velocity. This paper presents PSO based on uniform design (UD). UD is widely used in various applications and introduced to generate an initial population, in which the po...

The effects of various population topologies on the particle swarm algorithm were systematically investigated. Random graphs were generated to specifications, and their performance on several criteria was compared. What makes a good population structure? We discovered that previous assumptions may not have been correct.

Swarm robotics utilizes a large number of simple robots to accomplish a task, instead of a single complex robot. Communications constraints often force these systems to be distributed and leaderless, placing restrictions on the types of algorithms which can be executed by the swarm. The performance of a swarm algorithm is a ected by the environment in which the swarm operates. Di erent environm...

Human Group Optimization (HGO) algorithm, derived from the previously proposed seeker optimization algorithm (SOA), is a novel swarm intelligence algorithm by simulating human behaviors, especially human searching/foraging behaviors. In this paper, a canonical HGO with local search (L-HGO) is proposed. Based on the benchmark functions provided by CEC2005, the proposed algorithm is compared with...

An ACO-PSO Hybrid Algorithm Solving Path Planning Problem based on Swarm Intelligence (SI) is proposed. The problem first is described and some corresponding definitions are presented. Ant colony optimization (ACO) is used to establish the corresponding solution, and some material algorithm steps are set out. Particle swarm optimization (PSO) is applied to optimize the parameters in ACO, and pa...

System reliability-redundancy optimization plays a vital role in realworld applications. Recently, a new meta-heuristic based on swarm intelligence called cat swarm optimization (CSO) algorithm has emerged. CSO is a stochastic optimization paradigm inspired from the natural behavior of cats. To enhance the performance of the CSO algorithm, an improved adaptive CSO (ICSO) algorithm is presented....

-Particle swarm optimization (PSO) is undoubtedly one of the most widely used swarm intelligence algorithm. Generally, each particle is assigned an initial value randomly. In this paper an improved PSO clustering algorithm based on affinity propagation (APPSO) is proposed which provides new ideas and methods for cluster analysis. Firstly the proposed algorithm get initial cluster centers by aff...

The growing complexity of real-world problems hasmotivated computer scientists to search for efficient problem-solving methods. Metaheuristics based on evolutionary computa-tion and swarm intelligence are outstanding examples of nature-inspired solution techniques. Inspired by the social spiders, wepropose a novel Social Spider Algorithm (SSA) to solve globaloptimization...

MANET’s use wireless medium for communication, thus two nodes arranged in a multi-hop fashion can communicate directly if and only if they are within their transmission radius. MANET‘s have adopted many conventional routing algorithms, swarm intelligence (SI) has recently captured much attention because many new researches have proposed its adoption for MANET routing. Many researchers have prop...