Recommender systems have been widely applied to several domains and applications to
assist decision making by recommending items tailored to user preferences. One of the …

This paper presents a comprehensive survey on application of various conventional,
optimization and artificial intelligence (AI) based computational techniques for impact …

Taking a lead from the multi-faceted definitions and roles of the term" meme" in memetics, a
plethora of potentially rich memetic computing methodologies, frameworks and operational …

This paper proposes a novel and an effective multi-objective optimization algorithm named
multi-objective sine-cosine algorithm (MO-SCA) which is based on the search technique of …

Multi-objective particle swarm optimization (MOPSO) is an optimization technique inspired
by bird flocking, which has been steadily gaining attention from the research community …

The selection of swarm leaders (ie, the personal best and global best), is important in the
design of a multiobjective particle swarm optimization (MOPSO) algorithm. Such leaders are …

In recent years, multiobjective immune algorithms (MOIAs) have shown promising
performance in solving multiobjective optimization problems (MOPs). However, basic MOIAs …

In this paper, we propose a novel hybrid multi-objective immune algorithm with adaptive
differential evolution, named ADE-MOIA, in which the introduction of differential evolution …

This paper presents a long-term dynamic multi-objective planning model for distribution
network expansion along with distributed energy options. The proposed model optimizes …

From the word" mimeme" of Greek origin, Dawkins coined the term" meme" in his 1976 book
on" The Selfish Gene"[1]. He defined it as being" the basic unit of cultural transmission or …