Self-organizing migrating algorithm: review, improvements and comparison
L Skanderova - Artificial Intelligence Review, 2023 - Springer
The self-organizing migrating algorithm (SOMA) is a population-based meta-heuristic that
belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …
belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …
A new QPSO based hybrid algorithm for constrained optimization problems via tournamenting process
The goal of this paper is to propose a new hybrid algorithm based on advanced quantum
behaved particle swarm optimization (QPSO) technique and binary tournamenting for …
behaved particle swarm optimization (QPSO) technique and binary tournamenting for …
A new hybrid algorithm to solve bound-constrained nonlinear optimization problems
The goal of this work is to propose a hybrid algorithm called real-coded self-organizing
migrating genetic algorithm by combining real-coded genetic algorithm (RCGA) and self …
migrating genetic algorithm by combining real-coded genetic algorithm (RCGA) and self …
An integrated application of IoT‐based WSN in the field of indian agriculture system using hybrid optimization technique and machine learning
The goal of this chapter is to propose an integrated application of the Internet of Things‐
based Wireless Sensor Network in the arena of the Indian Agriculture System using the …
based Wireless Sensor Network in the arena of the Indian Agriculture System using the …
A hybrid tournament differential evolution algorithm for solving optimisation problems and applications
The goal of this work is to propose a hybrid algorithm, combining differential evolution
algorithm and tournamenting process, for solving constrained and bound-constrained …
algorithm and tournamenting process, for solving constrained and bound-constrained …
Self-organizing migrating algorithm team to team adaptive–SOMA T3A
QB Diep - 2019 IEEE congress on evolutionary computation …, 2019 - ieeexplore.ieee.org
Swarm intelligence algorithm and its variants are constantly evolving over the years, the
SOMA algorithm is also not out of that trend. In this paper, we propose a novel strategy of …
SOMA algorithm is also not out of that trend. In this paper, we propose a novel strategy of …
Self organizing migrating algorithm with quadratic interpolation for solving large scale global optimization problems
D Singh, S Agrawal - Applied Soft Computing, 2016 - Elsevier
Generally the complexity of the large scale optimization problem is considered to increase
as the size or dimension of the problem increases and to solve these problems; more …
as the size or dimension of the problem increases and to solve these problems; more …
SOMA T3A for solving the 100-digit challenge
In this paper, we address 10 basic test functions of the 100-Digit Challenge of the SEMCCO
2019 & FANCCO 2019 Competition by using team-to-team adaptive seft-organizing …
2019 & FANCCO 2019 Competition by using team-to-team adaptive seft-organizing …
Real-coded genetic algorithm with uniform random local search
BA Sawyerr, AO Adewumi, MM Ali - Applied Mathematics and Computation, 2014 - Elsevier
Genetic algorithms are efficient global optimizers, but they are weak in performing fine-
grained local searches. In this paper, the local search capability of genetic algorithm is …
grained local searches. In this paper, the local search capability of genetic algorithm is …
A new QPSO based hybrid algorithm for bound-constrained optimisation problem and its application in engineering design problems
The aim of this paper is to introduce a new hybrid algorithm for bound-constrained
optimisation problem combining quantum behaved particle swarm optimisation (QPSO) and …
optimisation problem combining quantum behaved particle swarm optimisation (QPSO) and …