User profiles for Shih-Hsi Liu
 | Shih-Hsi LiuCalifornia State University, Fresno Verified email at mail.fresnostate.edu Cited by 3161 |
Exploration and exploitation in evolutionary algorithms: A survey
“Exploration and exploitation are the two cornerstones of problem solving by search.” For
more than a decade, Eiben and Schippers' advocacy for balancing between these two …
more than a decade, Eiben and Schippers' advocacy for balancing between these two …
A note on teaching–learning-based optimization algorithm
Teaching–Learning-Based Optimization (TLBO) seems to be a rising star from amongst a
number of metaheuristics with relatively competitive performances. It is reported that it …
number of metaheuristics with relatively competitive performances. It is reported that it …
On clarifying misconceptions when comparing variants of the artificial bee colony algorithm by offering a new implementation
Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained meta-heuristic
researchers’ attention and favor over recent years. It comprises good balance between …
researchers’ attention and favor over recent years. It comprises good balance between …
Replication and comparison of computational experiments in applied evolutionary computing: common pitfalls and guidelines to avoid them
Replicating and comparing computational experiments in applied evolutionary computing
may sound like a trivial task. Unfortunately, it is not so. Namely, many papers do not document …
may sound like a trivial task. Unfortunately, it is not so. Namely, many papers do not document …
[PDF][PDF] Systematics of the family Ocypodidae Rafinesque, 1815 (Crustacea: Brachyura), based on phylogenetic relationships, with a reorganization of subfamily …
…, M Türkay, R Naderloo, D Jones, MY Liu - Raffles Bulletin of …, 2016 - fiddlerkrab.url.tw
The family Ocypodidae is a group of intertidal brachyuran crabs found in tropical to temperate
seas worldwide. While the family has historically included many subfamilies, most of these …
seas worldwide. While the family has historically included many subfamilies, most of these …
A parameter control method of evolutionary algorithms using exploration and exploitation measures with a practical application for fitting Sovova's mass transfer model
Exploration and exploitation are omnipresent terms in evolutionary computation community
that have been broadly utilized to explain how evolutionary algorithms perform search. …
that have been broadly utilized to explain how evolutionary algorithms perform search. …
[HTML][HTML] Maximum number of generations as a stopping criterion considered harmful
Evolutionary algorithms have been shown to be very effective in solving complex optimization
problems. This has driven the research community in the development of novel, even …
problems. This has driven the research community in the development of novel, even …
A novel direct measure of exploration and exploitation based on attraction basins
Exploration, the process of visiting a new region in a search space, and exploitation, the
process of searching in the neighborhood of previously visited regions, are two centerpieces of …
process of searching in the neighborhood of previously visited regions, are two centerpieces of …
Is a comparison of results meaningful from the inexact replications of computational experiments?
The main objective of this paper is to correct the unreasonable and inaccurate criticism to
our previous experiments using Teaching–Learning-Based Optimization algorithm and to …
our previous experiments using Teaching–Learning-Based Optimization algorithm and to …
A graph pointer network-based multi-objective deep reinforcement learning algorithm for solving the traveling salesman problem
Traveling Salesman Problems (TSPs) have been a long-lasting interesting challenge to
researchers in different areas. The difficulty of such problems scales up further when multiple …
researchers in different areas. The difficulty of such problems scales up further when multiple …