Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
—Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of problems in engineering design and scientific investigation. While readily adapted to singleo...
Abstract— This paper proposes an multi-objective evolutionary algorithm. The algorithm is based on OMOEA-II[2]. A new linear breeding operator with lower-dimensional crossover an...
Song Gao, Sanyou Y. Zeng, Bo Xiao, Lei Zhang, Yulo...
— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
— Visceral leishmaniasis is a parasitic disease that is usually fatal if untreated. Host resistance is thought to involve the accumulation of inflammatory cells into structures ...
Anton J. Flugge, Jon Timmis, Paul S. Andrews, John...
Abstract— The bacterial genome is well understood by biologists. Although its efficiency and adaptability should make it a good model for evolutionary algorithms, the bacterial ...
Simon J. Hickinbotham, Edward Clark, Susan Stepney...
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Abstract— The role of gradient estimation in global optimization is investigated. The concept of a regional gradient is introduced as a tool for analyzing and comparing different...
Abstract— In this paper we wish to investigate how optimization problems involving angles can best be handled when using Differential Evolution (DE) as the optimization technique...
— The Redundancy Allocation Problem (RAP) is a kind of reliability optimization problems. It involves the selection of components with appropriate levels of redundancy or reliabi...