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Beer froth artificial bee colony algorithm for job-shop scheduling problem
Job-shop scheduling problem (JSSP) is a vital combinatorial optimization problem in the
field of machine scheduling. The high complexity of JSSP is attracting researchers since the …
field of machine scheduling. The high complexity of JSSP is attracting researchers since the …
An improved global best guided artificial bee colony algorithm for continuous optimization problems
Y Cao, Y Lu, X Pan, N Sun - Cluster computing, 2019 - Springer
Artificial bee colony (ABC) has proved to be a good optimizer on many engineering
problems. However, the standard ABC converges slowly because of poor exploitation …
problems. However, the standard ABC converges slowly because of poor exploitation …
Optimal LEACH protocol with improved bat algorithm in wireless sensor networks
A low-energy adaptive clustering hierarchy (LEACH) protocol is a low-power adaptive
cluster routing protocol which was proposed by MIT's Chandrakasan for sensor networks. In …
cluster routing protocol which was proposed by MIT's Chandrakasan for sensor networks. In …
[HTML][HTML] Improving monarch butterfly optimization algorithm with self-adaptive population
Inspired by the migration behavior of monarch butterflies in nature, Wang et al. proposed a
novel, promising, intelligent swarm-based algorithm, monarch butterfly optimization (MBO) …
novel, promising, intelligent swarm-based algorithm, monarch butterfly optimization (MBO) …
An ABC algorithm with recombination
Artificial bee colony (ABC) is an efficient swarm intelligence algorithm, which has shown
good exploration ability. However, its exploitation capacity needs to be improved. In this …
good exploration ability. However, its exploitation capacity needs to be improved. In this …
Optimization of multimodal benchmark functions using fish cooperative hunting behaviors
The rising complexity of real-world problems has inspired researchers to search for effective
problem-solving techniques. Swarm intelligence and evolutionary computation techniques …
problem-solving techniques. Swarm intelligence and evolutionary computation techniques …
Reactive power optimization using new enhanced whale optimization algorithm
Abstract The standard Whale Optimization Algorithm (WOA) involves exploitation and
exploration operations which require to be balanced for improved performance. This paper …
exploration operations which require to be balanced for improved performance. This paper …
Review on bio-inspired algorithms approach to solve assembly line balancing problem
Bio-inspired algorithms that have been introduced by mimicking the biological phenomenon
of nature have widely implemented to cater various real-world problems. As example …
of nature have widely implemented to cater various real-world problems. As example …
Constrained solution of CEC 2017 with monarch butterfly optimisation
Recently, inspired by the behaviour of monarch butterfly in North America, Wang et al.
proposed a new kind of swarm intelligence algorithm, called Monarch Butterfly Optimisation …
proposed a new kind of swarm intelligence algorithm, called Monarch Butterfly Optimisation …
An Enhanced Monarch Butterfly Optimization with Self-adaptive Butterfly Adjusting and Crossover Operators
After studying the behavior of monarch butterflies in nature, Wang et al. proposed a new
promising swarm intelligence algorithm, called monarch butterfly optimization (MBO), for …
promising swarm intelligence algorithm, called monarch butterfly optimization (MBO), for …