In this paper, an enhanced version of the salp swarm algorithm (SSA) for global optimization problems was developed. Two improvements have been proposed: (i) Diversification SSA population referred as $$_{std}$$ , (ii) parameters are tuned using a self-adaptive technique-based genetic (GA) $$_{GA-tuner}$$ . The novelty developing is to enhance its performance through balancing search exploratio...

In response to the shortcomings of Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow speed, a Multi-Strategy-Driven (MSD-SSA) was proposed. First, food sources or random leaders were associated with current bottle sea squirt at beginning iteration, which Levy flight walk crossover operators small probability added improve global search ability jump out local optimum. Secondly...

The wind turbine has grown out to be one of the most common Renewable Energy Sources (RES) around the world in recent years. This study was intended to position the Wind Turbine (WT) on a wind farm to achieve the highest performance possible in Electric Distribution Network (EDN). In this paper a new optimization algorithm namely Salp Swarm Algorithm (SSA) is applied to solve the problem of opt...

Based on the salp swarm algorithm (SSA), this paper proposes an efficient metaheuristic for solving global optimization problems and optimizing two commonly encountered geotechnical engineering structures: reinforced concrete cantilever retaining walls shallow spread foundations. Two new equations leader- followers-position-updating procedures were introduced in proposed adaptive (ASSA). This c...

Swarm-based algorithm can successfully avoid the local optimal constraints, thus achieving a smooth balance between exploration and exploitation. Salp swarm (SSA), as swarm-based on account of predation behavior salp, solve complex daily life optimization problems in nature. SSA also has stagnation slow convergence rate. This paper introduces an improved salp algorithm, which improve by using c...

Abstract There are many design problems need to be optimized in various fields of engineering, and most them belong the NP-hard problem. The meta-heuristic algorithm is one kind optimization method provides an effective way solve Salp swarm (SSA) a nature-inspired that mimics mathematically models behavior slap nature. However, similar algorithms, traditional SSA has some shortcomings, such as ...

In the crowded environment of bio-inspired population-based metaheuristics, Salp Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot momentum. Inspired by peculiar spatial arrangement salp colonies, which are displaced in long chains following leader, this seems to provide an interesting optimization performance. However, original work was characterized some concep...